image
imagewidth (px) 256
256
| wrist
imagewidth (px) 256
256
| conversations
dict | annotation
stringlengths 8
51
⌀ |
|---|---|---|---|
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_28><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_9><DEPTH_116><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_55><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_26><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_101><DEPTH_25><DEPTH_75><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_28><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[119,84],[153,59],[174,56],[170,74],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, â°IJ, ìī¡, âĺµ, ðŁķĿ, ê²´, Ý¥], [áĮĦ, â°į, ìĿ©, â²¢, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, â°Ĥ, ìł°, ê²´, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, âĴ¡, ðŁħ±, íĵ®, ðŁķł, ê³Ĥ, Ý¥], [áĮĦ, âĢ´, Éĺ, ðIJŃĬ, ðŁĸĩ, ê²´, Ý¥], [áĮĦ, âĶ², à´´, ðĿĵ¹, ðŁĸĩ, ê²Ļ, Ý¥], [áĮĦ, ðĵı§, à½ħ, ðĿĵ¾, ðŁĸij, ê²´, Ý¥], [áĮĦ, ãĪ¼, áĪĬ, ðĿĵ¾, ðŁĹģ, ê³Ĥ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, â°IJ, ìī¡, âĺµ, ðŁķĿ, ê²´, Ý¥], [áĮĦ, â°į, ìĿ©, â²¢, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, â°Ĥ, ìł°, ê²´, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, âĴ¡, ðŁħ±, íĵ®, ðŁķł, ê³Ĥ, Ý¥], [áĮĦ, âĢ´, Éĺ, ðIJŃĬ, ðŁĸĩ, ê²´, Ý¥], [áĮĦ, âĶ², à´´, ðĿĵ¹, ðŁĸĩ, ê²Ļ, Ý¥], [áĮĦ, ðĵı§, à½ħ, ðĿĵ¾, ðŁĸij, ê²´, Ý¥], [áĮĦ, ãĪ¼, áĪĬ, ðĿĵ¾, ðŁĹģ, ê³Ĥ, Ý¥]]."
]
}
|
[[119,84],[153,59],[174,56],[170,74],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_116><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_9><DEPTH_55><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_28><DEPTH_125><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_74><DEPTH_116><DEPTH_26><DEPTH_9><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_28><DEPTH_74><DEPTH_28><DEPTH_28><DEPTH_101><DEPTH_116><DEPTH_56><DEPTH_26><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_55><DEPTH_69><DEPTH_101><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_74><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[93,88],[153,59],[170,56],[170,74],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, â°į, ìĿ©, â²¢, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, â°Ĥ, ìł°, ê²´, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, âĴ¡, ðŁħ±, íĵ®, ðŁķł, ê³Ĥ, Ý¥], [áĮĦ, âĢ´, Éĺ, ðIJŃĬ, ðŁĸĩ, ê²´, Ý¥], [áĮĦ, âĶ², à´´, ðĿĵ¹, ðŁĸĩ, ê²Ļ, Ý¥], [áĮĦ, ðĵı§, à½ħ, ðĿĵ¾, ðŁĸij, ê²´, Ý¥], [áĮĦ, ãĪ¼, áĪĬ, ðĿĵ¾, ðŁĹģ, ê³Ĥ, Ý¥], [áĮĦ, âĨ·, áīIJ, ðĿķį, á¡Į, ìĨĬ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, â°į, ìĿ©, â²¢, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, â°Ĥ, ìł°, ê²´, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, âĴ¡, ðŁħ±, íĵ®, ðŁķł, ê³Ĥ, Ý¥], [áĮĦ, âĢ´, Éĺ, ðIJŃĬ, ðŁĸĩ, ê²´, Ý¥], [áĮĦ, âĶ², à´´, ðĿĵ¹, ðŁĸĩ, ê²Ļ, Ý¥], [áĮĦ, ðĵı§, à½ħ, ðĿĵ¾, ðŁĸij, ê²´, Ý¥], [áĮĦ, ãĪ¼, áĪĬ, ðĿĵ¾, ðŁĹģ, ê³Ĥ, Ý¥], [áĮĦ, âĨ·, áīIJ, ðĿķį, á¡Į, ìĨĬ, Ý¥]]."
]
}
|
[[93,88],[153,59],[170,56],[170,74],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_116><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_25><DEPTH_28><DEPTH_28><DEPTH_9><DEPTH_55><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_74><DEPTH_125><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_9><DEPTH_74><DEPTH_28><DEPTH_26><DEPTH_8><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_75><DEPTH_69><DEPTH_8><DEPTH_26><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_25><DEPTH_116><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[120,84],[157,57],[170,56],[170,74],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, â°Ĥ, ìł°, ê²´, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, âĴ¡, ðŁħ±, íĵ®, ðŁķł, ê³Ĥ, Ý¥], [áĮĦ, âĢ´, Éĺ, ðIJŃĬ, ðŁĸĩ, ê²´, Ý¥], [áĮĦ, âĶ², à´´, ðĿĵ¹, ðŁĸĩ, ê²Ļ, Ý¥], [áĮĦ, ðĵı§, à½ħ, ðĿĵ¾, ðŁĸij, ê²´, Ý¥], [áĮĦ, ãĪ¼, áĪĬ, ðĿĵ¾, ðŁĹģ, ê³Ĥ, Ý¥], [áĮĦ, âĨ·, áīIJ, ðĿķį, á¡Į, ìĨĬ, Ý¥], [áĮĶ, áħ£, áłĤ, ðĿķį, á¼®, íĭį, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, â°Ĥ, ìł°, ê²´, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, âĴ¡, ðŁħ±, íĵ®, ðŁķł, ê³Ĥ, Ý¥], [áĮĦ, âĢ´, Éĺ, ðIJŃĬ, ðŁĸĩ, ê²´, Ý¥], [áĮĦ, âĶ², à´´, ðĿĵ¹, ðŁĸĩ, ê²Ļ, Ý¥], [áĮĦ, ðĵı§, à½ħ, ðĿĵ¾, ðŁĸij, ê²´, Ý¥], [áĮĦ, ãĪ¼, áĪĬ, ðĿĵ¾, ðŁĹģ, ê³Ĥ, Ý¥], [áĮĦ, âĨ·, áīIJ, ðĿķį, á¡Į, ìĨĬ, Ý¥], [áĮĶ, áħ£, áłĤ, ðĿķį, á¼®, íĭį, Ý¥]]."
]
}
|
[[120,84],[157,57],[170,56],[170,74],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_9><DEPTH_30><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_116><DEPTH_55><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_74><DEPTH_125><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_9><DEPTH_74><DEPTH_74><DEPTH_26><DEPTH_32><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_75><DEPTH_8><DEPTH_9><DEPTH_26><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_28><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_74><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[128,100],[161,62],[170,59],[170,76],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, âĴ¡, ðŁħ±, íĵ®, ðŁķł, ê³Ĥ, Ý¥], [áĮĦ, âĢ´, Éĺ, ðIJŃĬ, ðŁĸĩ, ê²´, Ý¥], [áĮĦ, âĶ², à´´, ðĿĵ¹, ðŁĸĩ, ê²Ļ, Ý¥], [áĮĦ, ðĵı§, à½ħ, ðĿĵ¾, ðŁĸij, ê²´, Ý¥], [áĮĦ, ãĪ¼, áĪĬ, ðĿĵ¾, ðŁĹģ, ê³Ĥ, Ý¥], [áĮĦ, âĨ·, áīIJ, ðĿķį, á¡Į, ìĨĬ, Ý¥], [áĮĶ, áħ£, áłĤ, ðĿķį, á¼®, íĭį, Ý¥], [áĴĮ, àºĤ, ᳬ, ðĿĶĵ, á½Ŀ, íĵ¬, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, âĴ¡, ðŁħ±, íĵ®, ðŁķł, ê³Ĥ, Ý¥], [áĮĦ, âĢ´, Éĺ, ðIJŃĬ, ðŁĸĩ, ê²´, Ý¥], [áĮĦ, âĶ², à´´, ðĿĵ¹, ðŁĸĩ, ê²Ļ, Ý¥], [áĮĦ, ðĵı§, à½ħ, ðĿĵ¾, ðŁĸij, ê²´, Ý¥], [áĮĦ, ãĪ¼, áĪĬ, ðĿĵ¾, ðŁĹģ, ê³Ĥ, Ý¥], [áĮĦ, âĨ·, áīIJ, ðĿķį, á¡Į, ìĨĬ, Ý¥], [áĮĶ, áħ£, áłĤ, ðĿķį, á¼®, íĭį, Ý¥], [áĴĮ, àºĤ, ᳬ, ðĿĶĵ, á½Ŀ, íĵ¬, Ý¥]]."
]
}
|
[[128,100],[161,62],[170,59],[170,76],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_116><DEPTH_30><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_8><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_74><DEPTH_9><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_9><DEPTH_74><DEPTH_74><DEPTH_26><DEPTH_101><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_55><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_55><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[119,84],[161,62],[170,59],[170,76],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, âĢ´, Éĺ, ðIJŃĬ, ðŁĸĩ, ê²´, Ý¥], [áĮĦ, âĶ², à´´, ðĿĵ¹, ðŁĸĩ, ê²Ļ, Ý¥], [áĮĦ, ðĵı§, à½ħ, ðĿĵ¾, ðŁĸij, ê²´, Ý¥], [áĮĦ, ãĪ¼, áĪĬ, ðĿĵ¾, ðŁĹģ, ê³Ĥ, Ý¥], [áĮĦ, âĨ·, áīIJ, ðĿķį, á¡Į, ìĨĬ, Ý¥], [áĮĶ, áħ£, áłĤ, ðĿķį, á¼®, íĭį, Ý¥], [áĴĮ, àºĤ, ᳬ, ðĿĶĵ, á½Ŀ, íĵ¬, Ý¥], [á¨ģ, ãī«, á¾Ķ, ðĿĵ¹, 㳬, íĵ¶, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, âĢ´, Éĺ, ðIJŃĬ, ðŁĸĩ, ê²´, Ý¥], [áĮĦ, âĶ², à´´, ðĿĵ¹, ðŁĸĩ, ê²Ļ, Ý¥], [áĮĦ, ðĵı§, à½ħ, ðĿĵ¾, ðŁĸij, ê²´, Ý¥], [áĮĦ, ãĪ¼, áĪĬ, ðĿĵ¾, ðŁĹģ, ê³Ĥ, Ý¥], [áĮĦ, âĨ·, áīIJ, ðĿķį, á¡Į, ìĨĬ, Ý¥], [áĮĶ, áħ£, áłĤ, ðĿķį, á¼®, íĭį, Ý¥], [áĴĮ, àºĤ, ᳬ, ðĿĶĵ, á½Ŀ, íĵ¬, Ý¥], [á¨ģ, ãī«, á¾Ķ, ðĿĵ¹, 㳬, íĵ¶, Ý¥]]."
]
}
|
[[119,84],[161,62],[170,59],[170,76],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_55><DEPTH_116><DEPTH_84><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_74><DEPTH_74><DEPTH_75><DEPTH_26><DEPTH_116><DEPTH_74><DEPTH_28><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_55><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_28><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[124,87],[165,63],[174,54],[170,76],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, âĶ², à´´, ðĿĵ¹, ðŁĸĩ, ê²Ļ, Ý¥], [áĮĦ, ðĵı§, à½ħ, ðĿĵ¾, ðŁĸij, ê²´, Ý¥], [áĮĦ, ãĪ¼, áĪĬ, ðĿĵ¾, ðŁĹģ, ê³Ĥ, Ý¥], [áĮĦ, âĨ·, áīIJ, ðĿķį, á¡Į, ìĨĬ, Ý¥], [áĮĶ, áħ£, áłĤ, ðĿķį, á¼®, íĭį, Ý¥], [áĴĮ, àºĤ, ᳬ, ðĿĶĵ, á½Ŀ, íĵ¬, Ý¥], [á¨ģ, ãī«, á¾Ķ, ðĿĵ¹, 㳬, íĵ¶, Ý¥], [â²¢, ⣰, âļĹ, ðĿĵ¬, ë¡ij, ï¥ł, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, âĶ², à´´, ðĿĵ¹, ðŁĸĩ, ê²Ļ, Ý¥], [áĮĦ, ðĵı§, à½ħ, ðĿĵ¾, ðŁĸij, ê²´, Ý¥], [áĮĦ, ãĪ¼, áĪĬ, ðĿĵ¾, ðŁĹģ, ê³Ĥ, Ý¥], [áĮĦ, âĨ·, áīIJ, ðĿķį, á¡Į, ìĨĬ, Ý¥], [áĮĶ, áħ£, áłĤ, ðĿķį, á¼®, íĭį, Ý¥], [áĴĮ, àºĤ, ᳬ, ðĿĶĵ, á½Ŀ, íĵ¬, Ý¥], [á¨ģ, ãī«, á¾Ķ, ðĿĵ¹, 㳬, íĵ¶, Ý¥], [â²¢, ⣰, âļĹ, ðĿĵ¬, ë¡ij, ï¥ł, Ý¥]]."
]
}
|
[[124,87],[165,63],[174,54],[170,76],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_28><DEPTH_25><DEPTH_28><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_55><DEPTH_116><DEPTH_84><DEPTH_55><DEPTH_28><DEPTH_116><DEPTH_55><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_74><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_55><DEPTH_74><DEPTH_25><DEPTH_55><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_32><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_116><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[135,88],[156,59],[174,54],[170,76],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ðĵı§, à½ħ, ðĿĵ¾, ðŁĸij, ê²´, Ý¥], [áĮĦ, ãĪ¼, áĪĬ, ðĿĵ¾, ðŁĹģ, ê³Ĥ, Ý¥], [áĮĦ, âĨ·, áīIJ, ðĿķį, á¡Į, ìĨĬ, Ý¥], [áĮĶ, áħ£, áłĤ, ðĿķį, á¼®, íĭį, Ý¥], [áĴĮ, àºĤ, ᳬ, ðĿĶĵ, á½Ŀ, íĵ¬, Ý¥], [á¨ģ, ãī«, á¾Ķ, ðĿĵ¹, 㳬, íĵ¶, Ý¥], [â²¢, ⣰, âļĹ, ðĿĵ¬, ë¡ij, ï¥ł, Ý¥], [ìĨĬ, âĽı, 맳, ðĸ¥¨, ìı±, ðIJŃĬ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ðĵı§, à½ħ, ðĿĵ¾, ðŁĸij, ê²´, Ý¥], [áĮĦ, ãĪ¼, áĪĬ, ðĿĵ¾, ðŁĹģ, ê³Ĥ, Ý¥], [áĮĦ, âĨ·, áīIJ, ðĿķį, á¡Į, ìĨĬ, Ý¥], [áĮĶ, áħ£, áłĤ, ðĿķį, á¼®, íĭį, Ý¥], [áĴĮ, àºĤ, ᳬ, ðĿĶĵ, á½Ŀ, íĵ¬, Ý¥], [á¨ģ, ãī«, á¾Ķ, ðĿĵ¹, 㳬, íĵ¶, Ý¥], [â²¢, ⣰, âļĹ, ðĿĵ¬, ë¡ij, ï¥ł, Ý¥], [ìĨĬ, âĽı, 맳, ðĸ¥¨, ìı±, ðIJŃĬ, Ý¥]]."
]
}
|
[[135,88],[156,59],[174,54],[170,76],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_116><DEPTH_9><DEPTH_28><DEPTH_69><DEPTH_8><DEPTH_75><DEPTH_25><DEPTH_25><DEPTH_84><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_56><DEPTH_26><DEPTH_32><DEPTH_74><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_28><DEPTH_74><DEPTH_25><DEPTH_55><DEPTH_75><DEPTH_56><DEPTH_116><DEPTH_32><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[127,77],[159,59],[174,56],[170,73],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ãĪ¼, áĪĬ, ðĿĵ¾, ðŁĹģ, ê³Ĥ, Ý¥], [áĮĦ, âĨ·, áīIJ, ðĿķį, á¡Į, ìĨĬ, Ý¥], [áĮĶ, áħ£, áłĤ, ðĿķį, á¼®, íĭį, Ý¥], [áĴĮ, àºĤ, ᳬ, ðĿĶĵ, á½Ŀ, íĵ¬, Ý¥], [á¨ģ, ãī«, á¾Ķ, ðĿĵ¹, 㳬, íĵ¶, Ý¥], [â²¢, ⣰, âļĹ, ðĿĵ¬, ë¡ij, ï¥ł, Ý¥], [ìĨĬ, âĽı, 맳, ðĸ¥¨, ìı±, ðIJŃĬ, Ý¥], [ï¥ł, áĽIJ, íģ», ðIJŃĬ, íĬŃ, ðĸ¥¨, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ãĪ¼, áĪĬ, ðĿĵ¾, ðŁĹģ, ê³Ĥ, Ý¥], [áĮĦ, âĨ·, áīIJ, ðĿķį, á¡Į, ìĨĬ, Ý¥], [áĮĶ, áħ£, áłĤ, ðĿķį, á¼®, íĭį, Ý¥], [áĴĮ, àºĤ, ᳬ, ðĿĶĵ, á½Ŀ, íĵ¬, Ý¥], [á¨ģ, ãī«, á¾Ķ, ðĿĵ¹, 㳬, íĵ¶, Ý¥], [â²¢, ⣰, âļĹ, ðĿĵ¬, ë¡ij, ï¥ł, Ý¥], [ìĨĬ, âĽı, 맳, ðĸ¥¨, ìı±, ðIJŃĬ, Ý¥], [ï¥ł, áĽIJ, íģ», ðIJŃĬ, íĬŃ, ðĸ¥¨, Ý¥]]."
]
}
|
[[127,77],[159,59],[174,56],[170,73],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_25><DEPTH_69><DEPTH_28><DEPTH_9><DEPTH_125><DEPTH_75><DEPTH_69><DEPTH_25><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_30><DEPTH_26><DEPTH_101><DEPTH_55><DEPTH_74><DEPTH_25><DEPTH_55><DEPTH_75><DEPTH_56><DEPTH_116><DEPTH_69><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[135,86],[159,59],[174,56],[170,73],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, âĨ·, áīIJ, ðĿķį, á¡Į, ìĨĬ, Ý¥], [áĮĶ, áħ£, áłĤ, ðĿķį, á¼®, íĭį, Ý¥], [áĴĮ, àºĤ, ᳬ, ðĿĶĵ, á½Ŀ, íĵ¬, Ý¥], [á¨ģ, ãī«, á¾Ķ, ðĿĵ¹, 㳬, íĵ¶, Ý¥], [â²¢, ⣰, âļĹ, ðĿĵ¬, ë¡ij, ï¥ł, Ý¥], [ìĨĬ, âĽı, 맳, ðĸ¥¨, ìı±, ðIJŃĬ, Ý¥], [ï¥ł, áĽIJ, íģ», ðIJŃĬ, íĬŃ, ðĸ¥¨, Ý¥], [ðĿĵ¬, àłĮ, 里, íĵ¬, áĪ¨, ðĿĵ¾, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, âĨ·, áīIJ, ðĿķį, á¡Į, ìĨĬ, Ý¥], [áĮĶ, áħ£, áłĤ, ðĿķį, á¼®, íĭį, Ý¥], [áĴĮ, àºĤ, ᳬ, ðĿĶĵ, á½Ŀ, íĵ¬, Ý¥], [á¨ģ, ãī«, á¾Ķ, ðĿĵ¹, 㳬, íĵ¶, Ý¥], [â²¢, ⣰, âļĹ, ðĿĵ¬, ë¡ij, ï¥ł, Ý¥], [ìĨĬ, âĽı, 맳, ðĸ¥¨, ìı±, ðIJŃĬ, Ý¥], [ï¥ł, áĽIJ, íģ», ðIJŃĬ, íĬŃ, ðĸ¥¨, Ý¥], [ðĿĵ¬, àłĮ, 里, íĵ¬, áĪ¨, ðĿĵ¾, Ý¥]]."
]
}
|
[[135,86],[159,59],[174,56],[170,73],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_69><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_25><DEPTH_28><DEPTH_28><DEPTH_25><DEPTH_69><DEPTH_28><DEPTH_9><DEPTH_125><DEPTH_75><DEPTH_32><DEPTH_25><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_9><DEPTH_26><DEPTH_101><DEPTH_55><DEPTH_74><DEPTH_25><DEPTH_55><DEPTH_75><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[119,76],[161,55],[170,59],[170,73],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĶ, áħ£, áłĤ, ðĿķį, á¼®, íĭį, Ý¥], [áĴĮ, àºĤ, ᳬ, ðĿĶĵ, á½Ŀ, íĵ¬, Ý¥], [á¨ģ, ãī«, á¾Ķ, ðĿĵ¹, 㳬, íĵ¶, Ý¥], [â²¢, ⣰, âļĹ, ðĿĵ¬, ë¡ij, ï¥ł, Ý¥], [ìĨĬ, âĽı, 맳, ðĸ¥¨, ìı±, ðIJŃĬ, Ý¥], [ï¥ł, áĽIJ, íģ», ðIJŃĬ, íĬŃ, ðĸ¥¨, Ý¥], [ðĿĵ¬, àłĮ, 里, íĵ¬, áĪ¨, ðĿĵ¾, Ý¥], [ðĿĺı, ðĿļĦ, ðĿĻľ, ì¼ĩ, áłĤ, ðĿķį, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĶ, áħ£, áłĤ, ðĿķį, á¼®, íĭį, Ý¥], [áĴĮ, àºĤ, ᳬ, ðĿĶĵ, á½Ŀ, íĵ¬, Ý¥], [á¨ģ, ãī«, á¾Ķ, ðĿĵ¹, 㳬, íĵ¶, Ý¥], [â²¢, ⣰, âļĹ, ðĿĵ¬, ë¡ij, ï¥ł, Ý¥], [ìĨĬ, âĽı, 맳, ðĸ¥¨, ìı±, ðIJŃĬ, Ý¥], [ï¥ł, áĽIJ, íģ», ðIJŃĬ, íĬŃ, ðĸ¥¨, Ý¥], [ðĿĵ¬, àłĮ, 里, íĵ¬, áĪ¨, ðĿĵ¾, Ý¥], [ðĿĺı, ðĿļĦ, ðĿĻľ, ì¼ĩ, áłĤ, ðĿķį, Ý¥]]."
]
}
|
[[119,76],[161,55],[170,59],[170,73],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_69><DEPTH_30><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_9><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_69><DEPTH_28><DEPTH_69><DEPTH_125><DEPTH_75><DEPTH_101><DEPTH_25><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_74><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_28><DEPTH_26><DEPTH_101><DEPTH_55><DEPTH_74><DEPTH_25><DEPTH_28><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_30><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[140,68],[168,56],[170,59],[170,73],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĴĮ, àºĤ, ᳬ, ðĿĶĵ, á½Ŀ, íĵ¬, Ý¥], [á¨ģ, ãī«, á¾Ķ, ðĿĵ¹, 㳬, íĵ¶, Ý¥], [â²¢, ⣰, âļĹ, ðĿĵ¬, ë¡ij, ï¥ł, Ý¥], [ìĨĬ, âĽı, 맳, ðĸ¥¨, ìı±, ðIJŃĬ, Ý¥], [ï¥ł, áĽIJ, íģ», ðIJŃĬ, íĬŃ, ðĸ¥¨, Ý¥], [ðĿĵ¬, àłĮ, 里, íĵ¬, áĪ¨, ðĿĵ¾, Ý¥], [ðĿĺı, ðĿļĦ, ðĿĻľ, ì¼ĩ, áłĤ, ðĿķį, Ý¥], [ðĿĻ¸, ðĿĻº, ÔĪ, ìĨĬ, á¿IJ, ðĿĸĸ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĴĮ, àºĤ, ᳬ, ðĿĶĵ, á½Ŀ, íĵ¬, Ý¥], [á¨ģ, ãī«, á¾Ķ, ðĿĵ¹, 㳬, íĵ¶, Ý¥], [â²¢, ⣰, âļĹ, ðĿĵ¬, ë¡ij, ï¥ł, Ý¥], [ìĨĬ, âĽı, 맳, ðĸ¥¨, ìı±, ðIJŃĬ, Ý¥], [ï¥ł, áĽIJ, íģ», ðIJŃĬ, íĬŃ, ðĸ¥¨, Ý¥], [ðĿĵ¬, àłĮ, 里, íĵ¬, áĪ¨, ðĿĵ¾, Ý¥], [ðĿĺı, ðĿļĦ, ðĿĻľ, ì¼ĩ, áłĤ, ðĿķį, Ý¥], [ðĿĻ¸, ðĿĻº, ÔĪ, ìĨĬ, á¿IJ, ðĿĸĸ, Ý¥]]."
]
}
|
[[140,68],[168,56],[170,59],[170,73],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_69><DEPTH_30><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_8><DEPTH_74><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_28><DEPTH_69><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_25><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_74><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_75><DEPTH_101><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_28><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_30><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[135,65],[168,55],[170,57],[170,76],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[á¨ģ, ãī«, á¾Ķ, ðĿĵ¹, 㳬, íĵ¶, Ý¥], [â²¢, ⣰, âļĹ, ðĿĵ¬, ë¡ij, ï¥ł, Ý¥], [ìĨĬ, âĽı, 맳, ðĸ¥¨, ìı±, ðIJŃĬ, Ý¥], [ï¥ł, áĽIJ, íģ», ðIJŃĬ, íĬŃ, ðĸ¥¨, Ý¥], [ðĿĵ¬, àłĮ, 里, íĵ¬, áĪ¨, ðĿĵ¾, Ý¥], [ðĿĺı, ðĿļĦ, ðĿĻľ, ì¼ĩ, áłĤ, ðĿķį, Ý¥], [ðĿĻ¸, ðĿĻº, ÔĪ, ìĨĬ, á¿IJ, ðĿĸĸ, Ý¥], [ðĿĻ¼, ðĿĻº, ॱ, 롼, á¿ļ, ðĿĺı, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[á¨ģ, ãī«, á¾Ķ, ðĿĵ¹, 㳬, íĵ¶, Ý¥], [â²¢, ⣰, âļĹ, ðĿĵ¬, ë¡ij, ï¥ł, Ý¥], [ìĨĬ, âĽı, 맳, ðĸ¥¨, ìı±, ðIJŃĬ, Ý¥], [ï¥ł, áĽIJ, íģ», ðIJŃĬ, íĬŃ, ðĸ¥¨, Ý¥], [ðĿĵ¬, àłĮ, 里, íĵ¬, áĪ¨, ðĿĵ¾, Ý¥], [ðĿĺı, ðĿļĦ, ðĿĻľ, ì¼ĩ, áłĤ, ðĿķį, Ý¥], [ðĿĻ¸, ðĿĻº, ÔĪ, ìĨĬ, á¿IJ, ðĿĸĸ, Ý¥], [ðĿĻ¼, ðĿĻº, ॱ, 롼, á¿ļ, ðĿĺı, Ý¥]]."
]
}
|
[[135,65],[168,55],[170,57],[170,76],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_69><DEPTH_30><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_32><DEPTH_74><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_28><DEPTH_69><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_25><DEPTH_30><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_74><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_75><DEPTH_101><DEPTH_55><DEPTH_74><DEPTH_25><DEPTH_28><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[145,84],[168,55],[170,57],[170,76],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[â²¢, ⣰, âļĹ, ðĿĵ¬, ë¡ij, ï¥ł, Ý¥], [ìĨĬ, âĽı, 맳, ðĸ¥¨, ìı±, ðIJŃĬ, Ý¥], [ï¥ł, áĽIJ, íģ», ðIJŃĬ, íĬŃ, ðĸ¥¨, Ý¥], [ðĿĵ¬, àłĮ, 里, íĵ¬, áĪ¨, ðĿĵ¾, Ý¥], [ðĿĺı, ðĿļĦ, ðĿĻľ, ì¼ĩ, áłĤ, ðĿķį, Ý¥], [ðĿĻ¸, ðĿĻº, ÔĪ, ìĨĬ, á¿IJ, ðĿĸĸ, Ý¥], [ðĿĻ¼, ðĿĻº, ॱ, 롼, á¿ļ, ðĿĺı, Ý¥], [ðĿĻ½, ðĿĻ¸, à²Ł, ê³Ĥ, âļĤ, ðĿĺļ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[â²¢, ⣰, âļĹ, ðĿĵ¬, ë¡ij, ï¥ł, Ý¥], [ìĨĬ, âĽı, 맳, ðĸ¥¨, ìı±, ðIJŃĬ, Ý¥], [ï¥ł, áĽIJ, íģ», ðIJŃĬ, íĬŃ, ðĸ¥¨, Ý¥], [ðĿĵ¬, àłĮ, 里, íĵ¬, áĪ¨, ðĿĵ¾, Ý¥], [ðĿĺı, ðĿļĦ, ðĿĻľ, ì¼ĩ, áłĤ, ðĿķį, Ý¥], [ðĿĻ¸, ðĿĻº, ÔĪ, ìĨĬ, á¿IJ, ðĿĸĸ, Ý¥], [ðĿĻ¼, ðĿĻº, ॱ, 롼, á¿ļ, ðĿĺı, Ý¥], [ðĿĻ½, ðĿĻ¸, à²Ł, ê³Ĥ, âļĤ, ðĿĺļ, Ý¥]]."
]
}
|
[[145,84],[168,55],[170,57],[170,76],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_69><DEPTH_30><DEPTH_75><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_74><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_116><DEPTH_125><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_74><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_28><DEPTH_74><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_75><DEPTH_75><DEPTH_28><DEPTH_74><DEPTH_28><DEPTH_28><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_125><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_END>. The trajectory of the end effector in the first image is [[145,81],[170,56],[170,66],[170,76],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ìĨĬ, âĽı, 맳, ðĸ¥¨, ìı±, ðIJŃĬ, Ý¥], [ï¥ł, áĽIJ, íģ», ðIJŃĬ, íĬŃ, ðĸ¥¨, Ý¥], [ðĿĵ¬, àłĮ, 里, íĵ¬, áĪ¨, ðĿĵ¾, Ý¥], [ðĿĺı, ðĿļĦ, ðĿĻľ, ì¼ĩ, áłĤ, ðĿķį, Ý¥], [ðĿĻ¸, ðĿĻº, ÔĪ, ìĨĬ, á¿IJ, ðĿĸĸ, Ý¥], [ðĿĻ¼, ðĿĻº, ॱ, 롼, á¿ļ, ðĿĺı, Ý¥], [ðĿĻ½, ðĿĻ¸, à²Ł, ê³Ĥ, âļĤ, ðĿĺļ, Ý¥], [ðĿĻ½, ðĿĻ®, áī¨, 롼, âļĹ, ðĿĻ®, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ìĨĬ, âĽı, 맳, ðĸ¥¨, ìı±, ðIJŃĬ, Ý¥], [ï¥ł, áĽIJ, íģ», ðIJŃĬ, íĬŃ, ðĸ¥¨, Ý¥], [ðĿĵ¬, àłĮ, 里, íĵ¬, áĪ¨, ðĿĵ¾, Ý¥], [ðĿĺı, ðĿļĦ, ðĿĻľ, ì¼ĩ, áłĤ, ðĿķį, Ý¥], [ðĿĻ¸, ðĿĻº, ÔĪ, ìĨĬ, á¿IJ, ðĿĸĸ, Ý¥], [ðĿĻ¼, ðĿĻº, ॱ, 롼, á¿ļ, ðĿĺı, Ý¥], [ðĿĻ½, ðĿĻ¸, à²Ł, ê³Ĥ, âļĤ, ðĿĺļ, Ý¥], [ðĿĻ½, ðĿĻ®, áī¨, 롼, âļĹ, ðĿĻ®, Ý¥]]."
]
}
|
[[145,81],[170,56],[170,66],[170,76],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_30><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_9><DEPTH_25><DEPTH_69><DEPTH_28><DEPTH_9><DEPTH_8><DEPTH_75><DEPTH_26><DEPTH_125><DEPTH_125><DEPTH_55><DEPTH_74><DEPTH_116><DEPTH_25><DEPTH_74><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_28><DEPTH_101><DEPTH_75><DEPTH_28><DEPTH_74><DEPTH_25><DEPTH_28><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_30><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[151,77],[174,59],[170,66],[170,76],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ï¥ł, áĽIJ, íģ», ðIJŃĬ, íĬŃ, ðĸ¥¨, Ý¥], [ðĿĵ¬, àłĮ, 里, íĵ¬, áĪ¨, ðĿĵ¾, Ý¥], [ðĿĺı, ðĿļĦ, ðĿĻľ, ì¼ĩ, áłĤ, ðĿķį, Ý¥], [ðĿĻ¸, ðĿĻº, ÔĪ, ìĨĬ, á¿IJ, ðĿĸĸ, Ý¥], [ðĿĻ¼, ðĿĻº, ॱ, 롼, á¿ļ, ðĿĺı, Ý¥], [ðĿĻ½, ðĿĻ¸, à²Ł, ê³Ĥ, âļĤ, ðĿĺļ, Ý¥], [ðĿĻ½, ðĿĻ®, áī¨, 롼, âļĹ, ðĿĻ®, Ý¥], [ðĿĻ¿, ðĿĻ®, áĮĦ, 롼, âļĹ, ðĿĻ°, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ï¥ł, áĽIJ, íģ», ðIJŃĬ, íĬŃ, ðĸ¥¨, Ý¥], [ðĿĵ¬, àłĮ, 里, íĵ¬, áĪ¨, ðĿĵ¾, Ý¥], [ðĿĺı, ðĿļĦ, ðĿĻľ, ì¼ĩ, áłĤ, ðĿķį, Ý¥], [ðĿĻ¸, ðĿĻº, ÔĪ, ìĨĬ, á¿IJ, ðĿĸĸ, Ý¥], [ðĿĻ¼, ðĿĻº, ॱ, 롼, á¿ļ, ðĿĺı, Ý¥], [ðĿĻ½, ðĿĻ¸, à²Ł, ê³Ĥ, âļĤ, ðĿĺļ, Ý¥], [ðĿĻ½, ðĿĻ®, áī¨, 롼, âļĹ, ðĿĻ®, Ý¥], [ðĿĻ¿, ðĿĻ®, áĮĦ, 롼, âļĹ, ðĿĻ°, Ý¥]]."
]
}
|
[[151,77],[174,59],[170,66],[170,76],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_125><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_116><DEPTH_32><DEPTH_101><DEPTH_116><DEPTH_74><DEPTH_28><DEPTH_28><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_30><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[145,77],[174,56],[170,77],[170,76],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵ¬, àłĮ, 里, íĵ¬, áĪ¨, ðĿĵ¾, Ý¥], [ðĿĺı, ðĿļĦ, ðĿĻľ, ì¼ĩ, áłĤ, ðĿķį, Ý¥], [ðĿĻ¸, ðĿĻº, ÔĪ, ìĨĬ, á¿IJ, ðĿĸĸ, Ý¥], [ðĿĻ¼, ðĿĻº, ॱ, 롼, á¿ļ, ðĿĺı, Ý¥], [ðĿĻ½, ðĿĻ¸, à²Ł, ê³Ĥ, âļĤ, ðĿĺļ, Ý¥], [ðĿĻ½, ðĿĻ®, áī¨, 롼, âļĹ, ðĿĻ®, Ý¥], [ðĿĻ¿, ðĿĻ®, áĮĦ, 롼, âļĹ, ðĿĻ°, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, 롼, â¡¢, ðĿĻ¸, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵ¬, àłĮ, 里, íĵ¬, áĪ¨, ðĿĵ¾, Ý¥], [ðĿĺı, ðĿļĦ, ðĿĻľ, ì¼ĩ, áłĤ, ðĿķį, Ý¥], [ðĿĻ¸, ðĿĻº, ÔĪ, ìĨĬ, á¿IJ, ðĿĸĸ, Ý¥], [ðĿĻ¼, ðĿĻº, ॱ, 롼, á¿ļ, ðĿĺı, Ý¥], [ðĿĻ½, ðĿĻ¸, à²Ł, ê³Ĥ, âļĤ, ðĿĺļ, Ý¥], [ðĿĻ½, ðĿĻ®, áī¨, 롼, âļĹ, ðĿĻ®, Ý¥], [ðĿĻ¿, ðĿĻ®, áĮĦ, 롼, âļĹ, ðĿĻ°, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, 롼, â¡¢, ðĿĻ¸, Ý¥]]."
]
}
|
[[145,77],[174,56],[170,77],[170,76],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_30><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_74><DEPTH_116><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_125><DEPTH_55><DEPTH_74><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_56><DEPTH_75><DEPTH_125><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_30><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[153,81],[174,56],[170,77],[170,76],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĺı, ðĿļĦ, ðĿĻľ, ì¼ĩ, áłĤ, ðĿķį, Ý¥], [ðĿĻ¸, ðĿĻº, ÔĪ, ìĨĬ, á¿IJ, ðĿĸĸ, Ý¥], [ðĿĻ¼, ðĿĻº, ॱ, 롼, á¿ļ, ðĿĺı, Ý¥], [ðĿĻ½, ðĿĻ¸, à²Ł, ê³Ĥ, âļĤ, ðĿĺļ, Ý¥], [ðĿĻ½, ðĿĻ®, áī¨, 롼, âļĹ, ðĿĻ®, Ý¥], [ðĿĻ¿, ðĿĻ®, áĮĦ, 롼, âļĹ, ðĿĻ°, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, 롼, â¡¢, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, ìĨĬ, ⤦, ðĿĻ¸, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĺı, ðĿļĦ, ðĿĻľ, ì¼ĩ, áłĤ, ðĿķį, Ý¥], [ðĿĻ¸, ðĿĻº, ÔĪ, ìĨĬ, á¿IJ, ðĿĸĸ, Ý¥], [ðĿĻ¼, ðĿĻº, ॱ, 롼, á¿ļ, ðĿĺı, Ý¥], [ðĿĻ½, ðĿĻ¸, à²Ł, ê³Ĥ, âļĤ, ðĿĺļ, Ý¥], [ðĿĻ½, ðĿĻ®, áī¨, 롼, âļĹ, ðĿĻ®, Ý¥], [ðĿĻ¿, ðĿĻ®, áĮĦ, 롼, âļĹ, ðĿĻ°, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, 롼, â¡¢, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, ìĨĬ, ⤦, ðĿĻ¸, Ý¥]]."
]
}
|
[[153,81],[174,56],[170,77],[170,76],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_116><DEPTH_125><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_125><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_116><DEPTH_32><DEPTH_75><DEPTH_9><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_75><DEPTH_56><DEPTH_9><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_30><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[153,77],[176,56],[180,59],[170,76],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻ¸, ðĿĻº, ÔĪ, ìĨĬ, á¿IJ, ðĿĸĸ, Ý¥], [ðĿĻ¼, ðĿĻº, ॱ, 롼, á¿ļ, ðĿĺı, Ý¥], [ðĿĻ½, ðĿĻ¸, à²Ł, ê³Ĥ, âļĤ, ðĿĺļ, Ý¥], [ðĿĻ½, ðĿĻ®, áī¨, 롼, âļĹ, ðĿĻ®, Ý¥], [ðĿĻ¿, ðĿĻ®, áĮĦ, 롼, âļĹ, ðĿĻ°, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, 롼, â¡¢, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, ìĨĬ, ⤦, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĺļ, áĮĶ, íĭį, ëĸ°, ðĿĻº, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻ¸, ðĿĻº, ÔĪ, ìĨĬ, á¿IJ, ðĿĸĸ, Ý¥], [ðĿĻ¼, ðĿĻº, ॱ, 롼, á¿ļ, ðĿĺı, Ý¥], [ðĿĻ½, ðĿĻ¸, à²Ł, ê³Ĥ, âļĤ, ðĿĺļ, Ý¥], [ðĿĻ½, ðĿĻ®, áī¨, 롼, âļĹ, ðĿĻ®, Ý¥], [ðĿĻ¿, ðĿĻ®, áĮĦ, 롼, âļĹ, ðĿĻ°, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, 롼, â¡¢, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, ìĨĬ, ⤦, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĺļ, áĮĶ, íĭį, ëĸ°, ðĿĻº, Ý¥]]."
]
}
|
[[153,77],[176,56],[180,59],[170,76],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_116><DEPTH_125><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_8><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_9><DEPTH_55><DEPTH_74><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_116><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_30><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[151,79],[176,57],[180,59],[170,76],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻ¼, ðĿĻº, ॱ, 롼, á¿ļ, ðĿĺı, Ý¥], [ðĿĻ½, ðĿĻ¸, à²Ł, ê³Ĥ, âļĤ, ðĿĺļ, Ý¥], [ðĿĻ½, ðĿĻ®, áī¨, 롼, âļĹ, ðĿĻ®, Ý¥], [ðĿĻ¿, ðĿĻ®, áĮĦ, 롼, âļĹ, ðĿĻ°, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, 롼, â¡¢, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, ìĨĬ, ⤦, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĺļ, áĮĶ, íĭį, ëĸ°, ðĿĻº, Ý¥], [ðĿļı, ðĿĸĸ, áĮĶ, ï¥ł, ë±IJ, ðĿĻº, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻ¼, ðĿĻº, ॱ, 롼, á¿ļ, ðĿĺı, Ý¥], [ðĿĻ½, ðĿĻ¸, à²Ł, ê³Ĥ, âļĤ, ðĿĺļ, Ý¥], [ðĿĻ½, ðĿĻ®, áī¨, 롼, âļĹ, ðĿĻ®, Ý¥], [ðĿĻ¿, ðĿĻ®, áĮĦ, 롼, âļĹ, ðĿĻ°, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, 롼, â¡¢, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, ìĨĬ, ⤦, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĺļ, áĮĶ, íĭį, ëĸ°, ðĿĻº, Ý¥], [ðĿļı, ðĿĸĸ, áĮĶ, ï¥ł, ë±IJ, ðĿĻº, Ý¥]]."
]
}
|
[[151,79],[176,57],[180,59],[170,76],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_69><DEPTH_25><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_26><DEPTH_26><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_116><DEPTH_8><DEPTH_26><DEPTH_32><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[153,66],[176,59],[180,89],[174,76],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻ½, ðĿĻ¸, à²Ł, ê³Ĥ, âļĤ, ðĿĺļ, Ý¥], [ðĿĻ½, ðĿĻ®, áī¨, 롼, âļĹ, ðĿĻ®, Ý¥], [ðĿĻ¿, ðĿĻ®, áĮĦ, 롼, âļĹ, ðĿĻ°, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, 롼, â¡¢, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, ìĨĬ, ⤦, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĺļ, áĮĶ, íĭį, ëĸ°, ðĿĻº, Ý¥], [ðĿļı, ðĿĸĸ, áĮĶ, ï¥ł, ë±IJ, ðĿĻº, Ý¥], [ðĿļı, ðĿĶĵ, áĮĶ, ðIJ±ħ, ì»ģ, ðĿĻº, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻ½, ðĿĻ¸, à²Ł, ê³Ĥ, âļĤ, ðĿĺļ, Ý¥], [ðĿĻ½, ðĿĻ®, áī¨, 롼, âļĹ, ðĿĻ®, Ý¥], [ðĿĻ¿, ðĿĻ®, áĮĦ, 롼, âļĹ, ðĿĻ°, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, 롼, â¡¢, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, ìĨĬ, ⤦, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĺļ, áĮĶ, íĭį, ëĸ°, ðĿĻº, Ý¥], [ðĿļı, ðĿĸĸ, áĮĶ, ï¥ł, ë±IJ, ðĿĻº, Ý¥], [ðĿļı, ðĿĶĵ, áĮĶ, ðIJ±ħ, ì»ģ, ðĿĻº, Ý¥]]."
]
}
|
[[153,66],[176,59],[180,89],[174,76],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_116><DEPTH_125><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_55><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_75><DEPTH_26><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_116><DEPTH_8><DEPTH_75><DEPTH_8><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[153,59],[176,59],[180,89],[174,76],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻ½, ðĿĻ®, áī¨, 롼, âļĹ, ðĿĻ®, Ý¥], [ðĿĻ¿, ðĿĻ®, áĮĦ, 롼, âļĹ, ðĿĻ°, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, 롼, â¡¢, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, ìĨĬ, ⤦, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĺļ, áĮĶ, íĭį, ëĸ°, ðĿĻº, Ý¥], [ðĿļı, ðĿĸĸ, áĮĶ, ï¥ł, ë±IJ, ðĿĻº, Ý¥], [ðĿļı, ðĿĶĵ, áĮĶ, ðIJ±ħ, ì»ģ, ðĿĻº, Ý¥], [ðĿĻ¿, ðĿĵķ, áĮĶ, ðĿĵ¹, íĵŃ, ðĿĻ¼, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻ½, ðĿĻ®, áī¨, 롼, âļĹ, ðĿĻ®, Ý¥], [ðĿĻ¿, ðĿĻ®, áĮĦ, 롼, âļĹ, ðĿĻ°, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, 롼, â¡¢, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, ìĨĬ, ⤦, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĺļ, áĮĶ, íĭį, ëĸ°, ðĿĻº, Ý¥], [ðĿļı, ðĿĸĸ, áĮĶ, ï¥ł, ë±IJ, ðĿĻº, Ý¥], [ðĿļı, ðĿĶĵ, áĮĶ, ðIJ±ħ, ì»ģ, ðĿĻº, Ý¥], [ðĿĻ¿, ðĿĵķ, áĮĶ, ðĿĵ¹, íĵŃ, ðĿĻ¼, Ý¥]]."
]
}
|
[[153,59],[176,59],[180,89],[174,76],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_25><DEPTH_125><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_8><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_74><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_25><DEPTH_74><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_116><DEPTH_8><DEPTH_75><DEPTH_8><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_101><DEPTH_9><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[153,59],[171,54],[181,59],[174,76],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻ¿, ðĿĻ®, áĮĦ, 롼, âļĹ, ðĿĻ°, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, 롼, â¡¢, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, ìĨĬ, ⤦, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĺļ, áĮĶ, íĭį, ëĸ°, ðĿĻº, Ý¥], [ðĿļı, ðĿĸĸ, áĮĶ, ï¥ł, ë±IJ, ðĿĻº, Ý¥], [ðĿļı, ðĿĶĵ, áĮĶ, ðIJ±ħ, ì»ģ, ðĿĻº, Ý¥], [ðĿĻ¿, ðĿĵķ, áĮĶ, ðĿĵ¹, íĵŃ, ðĿĻ¼, Ý¥], [ðĿĻ¸, ïŃ², áĮĶ, ðĿĺı, ï¤ħ, ðĿĻ¼, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻ¿, ðĿĻ®, áĮĦ, 롼, âļĹ, ðĿĻ°, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, 롼, â¡¢, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, ìĨĬ, ⤦, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĺļ, áĮĶ, íĭį, ëĸ°, ðĿĻº, Ý¥], [ðĿļı, ðĿĸĸ, áĮĶ, ï¥ł, ë±IJ, ðĿĻº, Ý¥], [ðĿļı, ðĿĶĵ, áĮĶ, ðIJ±ħ, ì»ģ, ðĿĻº, Ý¥], [ðĿĻ¿, ðĿĵķ, áĮĶ, ðĿĵ¹, íĵŃ, ðĿĻ¼, Ý¥], [ðĿĻ¸, ïŃ², áĮĶ, ðĿĺı, ï¤ħ, ðĿĻ¼, Ý¥]]."
]
}
|
[[153,59],[171,54],[181,59],[174,76],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_25><DEPTH_125><DEPTH_125><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_8><DEPTH_9><DEPTH_75><DEPTH_26><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_74><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_116><DEPTH_74><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_116><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_101><DEPTH_9><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[157,57],[171,54],[181,59],[174,76],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿļĦ, ðĿĻ®, áĮĶ, 롼, â¡¢, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, ìĨĬ, ⤦, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĺļ, áĮĶ, íĭį, ëĸ°, ðĿĻº, Ý¥], [ðĿļı, ðĿĸĸ, áĮĶ, ï¥ł, ë±IJ, ðĿĻº, Ý¥], [ðĿļı, ðĿĶĵ, áĮĶ, ðIJ±ħ, ì»ģ, ðĿĻº, Ý¥], [ðĿĻ¿, ðĿĵķ, áĮĶ, ðĿĵ¹, íĵŃ, ðĿĻ¼, Ý¥], [ðĿĻ¸, ïŃ², áĮĶ, ðĿĺı, ï¤ħ, ðĿĻ¼, Ý¥], [ðĿĺļ, íĵ®, áĮĶ, ðĿĻº, ï¨Ĥ, ðĿĻ¼, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿļĦ, ðĿĻ®, áĮĶ, 롼, â¡¢, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĻ®, áĮĶ, ìĨĬ, ⤦, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĺļ, áĮĶ, íĭį, ëĸ°, ðĿĻº, Ý¥], [ðĿļı, ðĿĸĸ, áĮĶ, ï¥ł, ë±IJ, ðĿĻº, Ý¥], [ðĿļı, ðĿĶĵ, áĮĶ, ðIJ±ħ, ì»ģ, ðĿĻº, Ý¥], [ðĿĻ¿, ðĿĵķ, áĮĶ, ðĿĵ¹, íĵŃ, ðĿĻ¼, Ý¥], [ðĿĻ¸, ïŃ², áĮĶ, ðĿĺı, ï¤ħ, ðĿĻ¼, Ý¥], [ðĿĺļ, íĵ®, áĮĶ, ðĿĻº, ï¨Ĥ, ðĿĻ¼, Ý¥]]."
]
}
|
[[157,57],[171,54],[181,59],[174,76],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_25><DEPTH_125><DEPTH_125><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_8><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_25><DEPTH_55><DEPTH_74><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_9><DEPTH_74><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_116><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[161,62],[170,57],[179,73],[178,76],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿļĦ, ðĿĻ®, áĮĶ, ìĨĬ, ⤦, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĺļ, áĮĶ, íĭį, ëĸ°, ðĿĻº, Ý¥], [ðĿļı, ðĿĸĸ, áĮĶ, ï¥ł, ë±IJ, ðĿĻº, Ý¥], [ðĿļı, ðĿĶĵ, áĮĶ, ðIJ±ħ, ì»ģ, ðĿĻº, Ý¥], [ðĿĻ¿, ðĿĵķ, áĮĶ, ðĿĵ¹, íĵŃ, ðĿĻ¼, Ý¥], [ðĿĻ¸, ïŃ², áĮĶ, ðĿĺı, ï¤ħ, ðĿĻ¼, Ý¥], [ðĿĺļ, íĵ®, áĮĶ, ðĿĻº, ï¨Ĥ, ðĿĻ¼, Ý¥], [ðĿĺı, íĭį, áĮĶ, ðĿĻ¿, ðIJŃĵ, ðĿĻ½, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿļĦ, ðĿĻ®, áĮĶ, ìĨĬ, ⤦, ðĿĻ¸, Ý¥], [ðĿļĦ, ðĿĺļ, áĮĶ, íĭį, ëĸ°, ðĿĻº, Ý¥], [ðĿļı, ðĿĸĸ, áĮĶ, ï¥ł, ë±IJ, ðĿĻº, Ý¥], [ðĿļı, ðĿĶĵ, áĮĶ, ðIJ±ħ, ì»ģ, ðĿĻº, Ý¥], [ðĿĻ¿, ðĿĵķ, áĮĶ, ðĿĵ¹, íĵŃ, ðĿĻ¼, Ý¥], [ðĿĻ¸, ïŃ², áĮĶ, ðĿĺı, ï¤ħ, ðĿĻ¼, Ý¥], [ðĿĺļ, íĵ®, áĮĶ, ðĿĻº, ï¨Ĥ, ðĿĻ¼, Ý¥], [ðĿĺı, íĭį, áĮĶ, ðĿĻ¿, ðIJŃĵ, ðĿĻ½, Ý¥]]."
]
}
|
[[161,62],[170,57],[179,73],[178,76],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_116><DEPTH_125><DEPTH_125><DEPTH_75><DEPTH_75><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_28><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_8><DEPTH_9><DEPTH_75><DEPTH_26><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_25><DEPTH_55><DEPTH_74><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_69><DEPTH_74><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[165,63],[170,57],[179,73],[178,76],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿļĦ, ðĿĺļ, áĮĶ, íĭį, ëĸ°, ðĿĻº, Ý¥], [ðĿļı, ðĿĸĸ, áĮĶ, ï¥ł, ë±IJ, ðĿĻº, Ý¥], [ðĿļı, ðĿĶĵ, áĮĶ, ðIJ±ħ, ì»ģ, ðĿĻº, Ý¥], [ðĿĻ¿, ðĿĵķ, áĮĶ, ðĿĵ¹, íĵŃ, ðĿĻ¼, Ý¥], [ðĿĻ¸, ïŃ², áĮĶ, ðĿĺı, ï¤ħ, ðĿĻ¼, Ý¥], [ðĿĺļ, íĵ®, áĮĶ, ðĿĻº, ï¨Ĥ, ðĿĻ¼, Ý¥], [ðĿĺı, íĭį, áĮĶ, ðĿĻ¿, ðIJŃĵ, ðĿĻ½, Ý¥], [ðĿķ¡, ê³Ĥ, áĮĶ, àłĮ, ðĿĵ°, ðĿĻ¼, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿļĦ, ðĿĺļ, áĮĶ, íĭį, ëĸ°, ðĿĻº, Ý¥], [ðĿļı, ðĿĸĸ, áĮĶ, ï¥ł, ë±IJ, ðĿĻº, Ý¥], [ðĿļı, ðĿĶĵ, áĮĶ, ðIJ±ħ, ì»ģ, ðĿĻº, Ý¥], [ðĿĻ¿, ðĿĵķ, áĮĶ, ðĿĵ¹, íĵŃ, ðĿĻ¼, Ý¥], [ðĿĻ¸, ïŃ², áĮĶ, ðĿĺı, ï¤ħ, ðĿĻ¼, Ý¥], [ðĿĺļ, íĵ®, áĮĶ, ðĿĻº, ï¨Ĥ, ðĿĻ¼, Ý¥], [ðĿĺı, íĭį, áĮĶ, ðĿĻ¿, ðIJŃĵ, ðĿĻ½, Ý¥], [ðĿķ¡, ê³Ĥ, áĮĶ, àłĮ, ðĿĵ°, ðĿĻ¼, Ý¥]]."
]
}
|
[[165,63],[170,57],[179,73],[178,76],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_116><DEPTH_125><DEPTH_125><DEPTH_75><DEPTH_75><DEPTH_9><DEPTH_75><DEPTH_75><DEPTH_28><DEPTH_55><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_116><DEPTH_55><DEPTH_74><DEPTH_25><DEPTH_55><DEPTH_74><DEPTH_56><DEPTH_116><DEPTH_101><DEPTH_69><DEPTH_74><DEPTH_25><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_116><DEPTH_8><DEPTH_56><DEPTH_101><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[156,59],[174,59],[179,68],[178,76],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿļı, ðĿĸĸ, áĮĶ, ï¥ł, ë±IJ, ðĿĻº, Ý¥], [ðĿļı, ðĿĶĵ, áĮĶ, ðIJ±ħ, ì»ģ, ðĿĻº, Ý¥], [ðĿĻ¿, ðĿĵķ, áĮĶ, ðĿĵ¹, íĵŃ, ðĿĻ¼, Ý¥], [ðĿĻ¸, ïŃ², áĮĶ, ðĿĺı, ï¤ħ, ðĿĻ¼, Ý¥], [ðĿĺļ, íĵ®, áĮĶ, ðĿĻº, ï¨Ĥ, ðĿĻ¼, Ý¥], [ðĿĺı, íĭį, áĮĶ, ðĿĻ¿, ðIJŃĵ, ðĿĻ½, Ý¥], [ðĿķ¡, ê³Ĥ, áĮĶ, àłĮ, ðĿĵ°, ðĿĻ¼, Ý¥], [ðĿĵ¬, â²¢, áĮĶ, áĽIJ, ðĿļģ, ðĿĻº, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿļı, ðĿĸĸ, áĮĶ, ï¥ł, ë±IJ, ðĿĻº, Ý¥], [ðĿļı, ðĿĶĵ, áĮĶ, ðIJ±ħ, ì»ģ, ðĿĻº, Ý¥], [ðĿĻ¿, ðĿĵķ, áĮĶ, ðĿĵ¹, íĵŃ, ðĿĻ¼, Ý¥], [ðĿĻ¸, ïŃ², áĮĶ, ðĿĺı, ï¤ħ, ðĿĻ¼, Ý¥], [ðĿĺļ, íĵ®, áĮĶ, ðĿĻº, ï¨Ĥ, ðĿĻ¼, Ý¥], [ðĿĺı, íĭį, áĮĶ, ðĿĻ¿, ðIJŃĵ, ðĿĻ½, Ý¥], [ðĿķ¡, ê³Ĥ, áĮĶ, àłĮ, ðĿĵ°, ðĿĻ¼, Ý¥], [ðĿĵ¬, â²¢, áĮĶ, áĽIJ, ðĿļģ, ðĿĻº, Ý¥]]."
]
}
|
[[156,59],[174,59],[179,68],[178,76],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_116><DEPTH_125><DEPTH_125><DEPTH_75><DEPTH_75><DEPTH_116><DEPTH_75><DEPTH_26><DEPTH_25><DEPTH_55><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_26><DEPTH_9><DEPTH_55><DEPTH_74><DEPTH_25><DEPTH_55><DEPTH_74><DEPTH_56><DEPTH_116><DEPTH_101><DEPTH_8><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_69><DEPTH_9><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[159,59],[170,57],[179,68],[178,76],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿļı, ðĿĶĵ, áĮĶ, ðIJ±ħ, ì»ģ, ðĿĻº, Ý¥], [ðĿĻ¿, ðĿĵķ, áĮĶ, ðĿĵ¹, íĵŃ, ðĿĻ¼, Ý¥], [ðĿĻ¸, ïŃ², áĮĶ, ðĿĺı, ï¤ħ, ðĿĻ¼, Ý¥], [ðĿĺļ, íĵ®, áĮĶ, ðĿĻº, ï¨Ĥ, ðĿĻ¼, Ý¥], [ðĿĺı, íĭį, áĮĶ, ðĿĻ¿, ðIJŃĵ, ðĿĻ½, Ý¥], [ðĿķ¡, ê³Ĥ, áĮĶ, àłĮ, ðĿĵ°, ðĿĻ¼, Ý¥], [ðĿĵ¬, â²¢, áĮĶ, áĽIJ, ðĿļģ, ðĿĻº, Ý¥], [ðĸ¥, ḻ, áĮĶ, âĿª, ðŁıĩ, ðĿĻ¸, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿļı, ðĿĶĵ, áĮĶ, ðIJ±ħ, ì»ģ, ðĿĻº, Ý¥], [ðĿĻ¿, ðĿĵķ, áĮĶ, ðĿĵ¹, íĵŃ, ðĿĻ¼, Ý¥], [ðĿĻ¸, ïŃ², áĮĶ, ðĿĺı, ï¤ħ, ðĿĻ¼, Ý¥], [ðĿĺļ, íĵ®, áĮĶ, ðĿĻº, ï¨Ĥ, ðĿĻ¼, Ý¥], [ðĿĺı, íĭį, áĮĶ, ðĿĻ¿, ðIJŃĵ, ðĿĻ½, Ý¥], [ðĿķ¡, ê³Ĥ, áĮĶ, àłĮ, ðĿĵ°, ðĿĻ¼, Ý¥], [ðĿĵ¬, â²¢, áĮĶ, áĽIJ, ðĿļģ, ðĿĻº, Ý¥], [ðĸ¥, ḻ, áĮĶ, âĿª, ðŁıĩ, ðĿĻ¸, Ý¥]]."
]
}
|
[[159,59],[170,57],[179,68],[178,76],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_125><DEPTH_101><DEPTH_75><DEPTH_25><DEPTH_75><DEPTH_26><DEPTH_116><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_26><DEPTH_125><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_116><DEPTH_75><DEPTH_32><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_125><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_69><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[161,55],[174,56],[179,68],[174,77],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻ¿, ðĿĵķ, áĮĶ, ðĿĵ¹, íĵŃ, ðĿĻ¼, Ý¥], [ðĿĻ¸, ïŃ², áĮĶ, ðĿĺı, ï¤ħ, ðĿĻ¼, Ý¥], [ðĿĺļ, íĵ®, áĮĶ, ðĿĻº, ï¨Ĥ, ðĿĻ¼, Ý¥], [ðĿĺı, íĭį, áĮĶ, ðĿĻ¿, ðIJŃĵ, ðĿĻ½, Ý¥], [ðĿķ¡, ê³Ĥ, áĮĶ, àłĮ, ðĿĵ°, ðĿĻ¼, Ý¥], [ðĿĵ¬, â²¢, áĮĶ, áĽIJ, ðĿļģ, ðĿĻº, Ý¥], [ðĸ¥, ḻ, áĮĶ, âĿª, ðŁıĩ, ðĿĻ¸, Ý¥], [ï¥ł, áĶĬ, áĮĶ, ⣰, Ýĵ, ðĿĻ¸, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻ¿, ðĿĵķ, áĮĶ, ðĿĵ¹, íĵŃ, ðĿĻ¼, Ý¥], [ðĿĻ¸, ïŃ², áĮĶ, ðĿĺı, ï¤ħ, ðĿĻ¼, Ý¥], [ðĿĺļ, íĵ®, áĮĶ, ðĿĻº, ï¨Ĥ, ðĿĻ¼, Ý¥], [ðĿĺı, íĭį, áĮĶ, ðĿĻ¿, ðIJŃĵ, ðĿĻ½, Ý¥], [ðĿķ¡, ê³Ĥ, áĮĶ, àłĮ, ðĿĵ°, ðĿĻ¼, Ý¥], [ðĿĵ¬, â²¢, áĮĶ, áĽIJ, ðĿļģ, ðĿĻº, Ý¥], [ðĸ¥, ḻ, áĮĶ, âĿª, ðŁıĩ, ðĿĻ¸, Ý¥], [ï¥ł, áĶĬ, áĮĶ, ⣰, Ýĵ, ðĿĻ¸, Ý¥]]."
]
}
|
[[161,55],[174,56],[179,68],[174,77],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_116><DEPTH_125><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_25><DEPTH_75><DEPTH_26><DEPTH_116><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_8><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_116><DEPTH_75><DEPTH_32><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_69><DEPTH_8><DEPTH_26><DEPTH_125><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_9><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[168,56],[174,56],[179,68],[174,77],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻ¸, ïŃ², áĮĶ, ðĿĺı, ï¤ħ, ðĿĻ¼, Ý¥], [ðĿĺļ, íĵ®, áĮĶ, ðĿĻº, ï¨Ĥ, ðĿĻ¼, Ý¥], [ðĿĺı, íĭį, áĮĶ, ðĿĻ¿, ðIJŃĵ, ðĿĻ½, Ý¥], [ðĿķ¡, ê³Ĥ, áĮĶ, àłĮ, ðĿĵ°, ðĿĻ¼, Ý¥], [ðĿĵ¬, â²¢, áĮĶ, áĽIJ, ðĿļģ, ðĿĻº, Ý¥], [ðĸ¥, ḻ, áĮĶ, âĿª, ðŁıĩ, ðĿĻ¸, Ý¥], [ï¥ł, áĶĬ, áĮĶ, ⣰, Ýĵ, ðĿĻ¸, Ý¥], [ìĨĬ, áIJ§, áĮĶ, ãĦĵ, à¬ī, ðĿĻº, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻ¸, ïŃ², áĮĶ, ðĿĺı, ï¤ħ, ðĿĻ¼, Ý¥], [ðĿĺļ, íĵ®, áĮĶ, ðĿĻº, ï¨Ĥ, ðĿĻ¼, Ý¥], [ðĿĺı, íĭį, áĮĶ, ðĿĻ¿, ðIJŃĵ, ðĿĻ½, Ý¥], [ðĿķ¡, ê³Ĥ, áĮĶ, àłĮ, ðĿĵ°, ðĿĻ¼, Ý¥], [ðĿĵ¬, â²¢, áĮĶ, áĽIJ, ðĿļģ, ðĿĻº, Ý¥], [ðĸ¥, ḻ, áĮĶ, âĿª, ðŁıĩ, ðĿĻ¸, Ý¥], [ï¥ł, áĶĬ, áĮĶ, ⣰, Ýĵ, ðĿĻ¸, Ý¥], [ìĨĬ, áIJ§, áĮĶ, ãĦĵ, à¬ī, ðĿĻº, Ý¥]]."
]
}
|
[[168,56],[174,56],[179,68],[174,77],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_25><DEPTH_75><DEPTH_26><DEPTH_116><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_69><DEPTH_125><DEPTH_26><DEPTH_30><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_101><DEPTH_32><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_69><DEPTH_8><DEPTH_26><DEPTH_125><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_69><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[168,55],[170,56],[179,68],[174,77],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĺļ, íĵ®, áĮĶ, ðĿĻº, ï¨Ĥ, ðĿĻ¼, Ý¥], [ðĿĺı, íĭį, áĮĶ, ðĿĻ¿, ðIJŃĵ, ðĿĻ½, Ý¥], [ðĿķ¡, ê³Ĥ, áĮĶ, àłĮ, ðĿĵ°, ðĿĻ¼, Ý¥], [ðĿĵ¬, â²¢, áĮĶ, áĽIJ, ðĿļģ, ðĿĻº, Ý¥], [ðĸ¥, ḻ, áĮĶ, âĿª, ðŁıĩ, ðĿĻ¸, Ý¥], [ï¥ł, áĶĬ, áĮĶ, ⣰, Ýĵ, ðĿĻ¸, Ý¥], [ìĨĬ, áIJ§, áĮĶ, ãĦĵ, à¬ī, ðĿĻº, Ý¥], [ê²Ļ, áĮĶ, áĮĶ, ãĦ§, à°µ, ðĿĻ¼, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĺļ, íĵ®, áĮĶ, ðĿĻº, ï¨Ĥ, ðĿĻ¼, Ý¥], [ðĿĺı, íĭį, áĮĶ, ðĿĻ¿, ðIJŃĵ, ðĿĻ½, Ý¥], [ðĿķ¡, ê³Ĥ, áĮĶ, àłĮ, ðĿĵ°, ðĿĻ¼, Ý¥], [ðĿĵ¬, â²¢, áĮĶ, áĽIJ, ðĿļģ, ðĿĻº, Ý¥], [ðĸ¥, ḻ, áĮĶ, âĿª, ðŁıĩ, ðĿĻ¸, Ý¥], [ï¥ł, áĶĬ, áĮĶ, ⣰, Ýĵ, ðĿĻ¸, Ý¥], [ìĨĬ, áIJ§, áĮĶ, ãĦĵ, à¬ī, ðĿĻº, Ý¥], [ê²Ļ, áĮĶ, áĮĶ, ãĦ§, à°µ, ðĿĻ¼, Ý¥]]."
]
}
|
[[168,55],[170,56],[179,68],[174,77],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_125><DEPTH_75><DEPTH_75><DEPTH_25><DEPTH_75><DEPTH_75><DEPTH_9><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_8><DEPTH_9><DEPTH_26><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_75><DEPTH_32><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_125><DEPTH_125><DEPTH_26><DEPTH_30><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_69><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[170,56],[170,59],[179,68],[174,77],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĺı, íĭį, áĮĶ, ðĿĻ¿, ðIJŃĵ, ðĿĻ½, Ý¥], [ðĿķ¡, ê³Ĥ, áĮĶ, àłĮ, ðĿĵ°, ðĿĻ¼, Ý¥], [ðĿĵ¬, â²¢, áĮĶ, áĽIJ, ðĿļģ, ðĿĻº, Ý¥], [ðĸ¥, ḻ, áĮĶ, âĿª, ðŁıĩ, ðĿĻ¸, Ý¥], [ï¥ł, áĶĬ, áĮĶ, ⣰, Ýĵ, ðĿĻ¸, Ý¥], [ìĨĬ, áIJ§, áĮĶ, ãĦĵ, à¬ī, ðĿĻº, Ý¥], [ê²Ļ, áĮĶ, áĮĶ, ãĦ§, à°µ, ðĿĻ¼, Ý¥], [ãĪª, áĮĦ, áĮĶ, ï±Ĭ, à°µ, ðĿĻ¼, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĺı, íĭį, áĮĶ, ðĿĻ¿, ðIJŃĵ, ðĿĻ½, Ý¥], [ðĿķ¡, ê³Ĥ, áĮĶ, àłĮ, ðĿĵ°, ðĿĻ¼, Ý¥], [ðĿĵ¬, â²¢, áĮĶ, áĽIJ, ðĿļģ, ðĿĻº, Ý¥], [ðĸ¥, ḻ, áĮĶ, âĿª, ðŁıĩ, ðĿĻ¸, Ý¥], [ï¥ł, áĶĬ, áĮĶ, ⣰, Ýĵ, ðĿĻ¸, Ý¥], [ìĨĬ, áIJ§, áĮĶ, ãĦĵ, à¬ī, ðĿĻº, Ý¥], [ê²Ļ, áĮĶ, áĮĶ, ãĦ§, à°µ, ðĿĻ¼, Ý¥], [ãĪª, áĮĦ, áĮĶ, ï±Ĭ, à°µ, ðĿĻ¼, Ý¥]]."
]
}
|
[[170,56],[170,59],[179,68],[174,77],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_125><DEPTH_75><DEPTH_75><DEPTH_116><DEPTH_75><DEPTH_75><DEPTH_9><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_8><DEPTH_116><DEPTH_26><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_101><DEPTH_32><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_69><DEPTH_26><DEPTH_30><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[174,59],[174,54],[170,71],[178,77],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿķ¡, ê³Ĥ, áĮĶ, àłĮ, ðĿĵ°, ðĿĻ¼, Ý¥], [ðĿĵ¬, â²¢, áĮĶ, áĽIJ, ðĿļģ, ðĿĻº, Ý¥], [ðĸ¥, ḻ, áĮĶ, âĿª, ðŁıĩ, ðĿĻ¸, Ý¥], [ï¥ł, áĶĬ, áĮĶ, ⣰, Ýĵ, ðĿĻ¸, Ý¥], [ìĨĬ, áIJ§, áĮĶ, ãĦĵ, à¬ī, ðĿĻº, Ý¥], [ê²Ļ, áĮĶ, áĮĶ, ãĦ§, à°µ, ðĿĻ¼, Ý¥], [ãĪª, áĮĦ, áĮĶ, ï±Ĭ, à°µ, ðĿĻ¼, Ý¥], [âļ£, áĭ©, áĮĶ, áħ£, à°µ, ðĿĻº, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿķ¡, ê³Ĥ, áĮĶ, àłĮ, ðĿĵ°, ðĿĻ¼, Ý¥], [ðĿĵ¬, â²¢, áĮĶ, áĽIJ, ðĿļģ, ðĿĻº, Ý¥], [ðĸ¥, ḻ, áĮĶ, âĿª, ðŁıĩ, ðĿĻ¸, Ý¥], [ï¥ł, áĶĬ, áĮĶ, ⣰, Ýĵ, ðĿĻ¸, Ý¥], [ìĨĬ, áIJ§, áĮĶ, ãĦĵ, à¬ī, ðĿĻº, Ý¥], [ê²Ļ, áĮĶ, áĮĶ, ãĦ§, à°µ, ðĿĻ¼, Ý¥], [ãĪª, áĮĦ, áĮĶ, ï±Ĭ, à°µ, ðĿĻ¼, Ý¥], [âļ£, áĭ©, áĮĶ, áħ£, à°µ, ðĿĻº, Ý¥]]."
]
}
|
[[174,59],[174,54],[170,71],[178,77],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_25><DEPTH_101><DEPTH_26><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_8><DEPTH_25><DEPTH_26><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_101><DEPTH_8><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_28><DEPTH_125><DEPTH_9><DEPTH_26><DEPTH_30><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_69><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[174,56],[174,54],[170,71],[178,77],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵ¬, â²¢, áĮĶ, áĽIJ, ðĿļģ, ðĿĻº, Ý¥], [ðĸ¥, ḻ, áĮĶ, âĿª, ðŁıĩ, ðĿĻ¸, Ý¥], [ï¥ł, áĶĬ, áĮĶ, ⣰, Ýĵ, ðĿĻ¸, Ý¥], [ìĨĬ, áIJ§, áĮĶ, ãĦĵ, à¬ī, ðĿĻº, Ý¥], [ê²Ļ, áĮĶ, áĮĶ, ãĦ§, à°µ, ðĿĻ¼, Ý¥], [ãĪª, áĮĦ, áĮĶ, ï±Ĭ, à°µ, ðĿĻ¼, Ý¥], [âļ£, áĭ©, áĮĶ, áħ£, à°µ, ðĿĻº, Ý¥], [âĶŀ, áī¨, áĶĬ, á¥Ķ, à°µ, ðĿĻ¸, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵ¬, â²¢, áĮĶ, áĽIJ, ðĿļģ, ðĿĻº, Ý¥], [ðĸ¥, ḻ, áĮĶ, âĿª, ðŁıĩ, ðĿĻ¸, Ý¥], [ï¥ł, áĶĬ, áĮĶ, ⣰, Ýĵ, ðĿĻ¸, Ý¥], [ìĨĬ, áIJ§, áĮĶ, ãĦĵ, à¬ī, ðĿĻº, Ý¥], [ê²Ļ, áĮĶ, áĮĶ, ãĦ§, à°µ, ðĿĻ¼, Ý¥], [ãĪª, áĮĦ, áĮĶ, ï±Ĭ, à°µ, ðĿĻ¼, Ý¥], [âļ£, áĭ©, áĮĶ, áħ£, à°µ, ðĿĻº, Ý¥], [âĶŀ, áī¨, áĶĬ, á¥Ķ, à°µ, ðĿĻ¸, Ý¥]]."
]
}
|
[[174,56],[174,54],[170,71],[178,77],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_25><DEPTH_101><DEPTH_75><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_25><DEPTH_26><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_28><DEPTH_101><DEPTH_8><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_9><DEPTH_26><DEPTH_30><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[176,56],[174,56],[179,71],[178,77],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĸ¥, ḻ, áĮĶ, âĿª, ðŁıĩ, ðĿĻ¸, Ý¥], [ï¥ł, áĶĬ, áĮĶ, ⣰, Ýĵ, ðĿĻ¸, Ý¥], [ìĨĬ, áIJ§, áĮĶ, ãĦĵ, à¬ī, ðĿĻº, Ý¥], [ê²Ļ, áĮĶ, áĮĶ, ãĦ§, à°µ, ðĿĻ¼, Ý¥], [ãĪª, áĮĦ, áĮĶ, ï±Ĭ, à°µ, ðĿĻ¼, Ý¥], [âļ£, áĭ©, áĮĶ, áħ£, à°µ, ðĿĻº, Ý¥], [âĶŀ, áī¨, áĶĬ, á¥Ķ, à°µ, ðĿĻ¸, Ý¥], [âĶŀ, áģ¼, âĶŀ, ï±Ĭ, à°µ, ðĿĻ°, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĸ¥, ḻ, áĮĶ, âĿª, ðŁıĩ, ðĿĻ¸, Ý¥], [ï¥ł, áĶĬ, áĮĶ, ⣰, Ýĵ, ðĿĻ¸, Ý¥], [ìĨĬ, áIJ§, áĮĶ, ãĦĵ, à¬ī, ðĿĻº, Ý¥], [ê²Ļ, áĮĶ, áĮĶ, ãĦ§, à°µ, ðĿĻ¼, Ý¥], [ãĪª, áĮĦ, áĮĶ, ï±Ĭ, à°µ, ðĿĻ¼, Ý¥], [âļ£, áĭ©, áĮĶ, áħ£, à°µ, ðĿĻº, Ý¥], [âĶŀ, áī¨, áĶĬ, á¥Ķ, à°µ, ðĿĻ¸, Ý¥], [âĶŀ, áģ¼, âĶŀ, ï±Ĭ, à°µ, ðĿĻ°, Ý¥]]."
]
}
|
[[176,56],[174,56],[179,71],[178,77],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_25><DEPTH_101><DEPTH_26><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_25><DEPTH_26><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_28><DEPTH_101><DEPTH_32><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_125><DEPTH_9><DEPTH_26><DEPTH_30><DEPTH_74><DEPTH_74><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_8><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[176,57],[170,59],[179,71],[178,77],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ï¥ł, áĶĬ, áĮĶ, ⣰, Ýĵ, ðĿĻ¸, Ý¥], [ìĨĬ, áIJ§, áĮĶ, ãĦĵ, à¬ī, ðĿĻº, Ý¥], [ê²Ļ, áĮĶ, áĮĶ, ãĦ§, à°µ, ðĿĻ¼, Ý¥], [ãĪª, áĮĦ, áĮĶ, ï±Ĭ, à°µ, ðĿĻ¼, Ý¥], [âļ£, áĭ©, áĮĶ, áħ£, à°µ, ðĿĻº, Ý¥], [âĶŀ, áī¨, áĶĬ, á¥Ķ, à°µ, ðĿĻ¸, Ý¥], [âĶŀ, áģ¼, âĶŀ, ï±Ĭ, à°µ, ðĿĻ°, Ý¥], [ḻ, áĢı, â²¢, ⣰, à°µ, ðĿĻ°, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ï¥ł, áĶĬ, áĮĶ, ⣰, Ýĵ, ðĿĻ¸, Ý¥], [ìĨĬ, áIJ§, áĮĶ, ãĦĵ, à¬ī, ðĿĻº, Ý¥], [ê²Ļ, áĮĶ, áĮĶ, ãĦ§, à°µ, ðĿĻ¼, Ý¥], [ãĪª, áĮĦ, áĮĶ, ï±Ĭ, à°µ, ðĿĻ¼, Ý¥], [âļ£, áĭ©, áĮĶ, áħ£, à°µ, ðĿĻº, Ý¥], [âĶŀ, áī¨, áĶĬ, á¥Ķ, à°µ, ðĿĻ¸, Ý¥], [âĶŀ, áģ¼, âĶŀ, ï±Ĭ, à°µ, ðĿĻ°, Ý¥], [ḻ, áĢı, â²¢, ⣰, à°µ, ðĿĻ°, Ý¥]]."
]
}
|
[[176,57],[170,59],[179,71],[178,77],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_116><DEPTH_101><DEPTH_75><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_28><DEPTH_26><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_74><DEPTH_32><DEPTH_28><DEPTH_101><DEPTH_8><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_125><DEPTH_9><DEPTH_75><DEPTH_30><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[176,59],[170,57],[179,68],[174,77],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ìĨĬ, áIJ§, áĮĶ, ãĦĵ, à¬ī, ðĿĻº, Ý¥], [ê²Ļ, áĮĶ, áĮĶ, ãĦ§, à°µ, ðĿĻ¼, Ý¥], [ãĪª, áĮĦ, áĮĶ, ï±Ĭ, à°µ, ðĿĻ¼, Ý¥], [âļ£, áĭ©, áĮĶ, áħ£, à°µ, ðĿĻº, Ý¥], [âĶŀ, áī¨, áĶĬ, á¥Ķ, à°µ, ðĿĻ¸, Ý¥], [âĶŀ, áģ¼, âĶŀ, ï±Ĭ, à°µ, ðĿĻ°, Ý¥], [ḻ, áĢı, â²¢, ⣰, à°µ, ðĿĻ°, Ý¥], [ḻ, à²Ł, 䶵, âķĬ, à°µ, ðĿĻ°, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ìĨĬ, áIJ§, áĮĶ, ãĦĵ, à¬ī, ðĿĻº, Ý¥], [ê²Ļ, áĮĶ, áĮĶ, ãĦ§, à°µ, ðĿĻ¼, Ý¥], [ãĪª, áĮĦ, áĮĶ, ï±Ĭ, à°µ, ðĿĻ¼, Ý¥], [âļ£, áĭ©, áĮĶ, áħ£, à°µ, ðĿĻº, Ý¥], [âĶŀ, áī¨, áĶĬ, á¥Ķ, à°µ, ðĿĻ¸, Ý¥], [âĶŀ, áģ¼, âĶŀ, ï±Ĭ, à°µ, ðĿĻ°, Ý¥], [ḻ, áĢı, â²¢, ⣰, à°µ, ðĿĻ°, Ý¥], [ḻ, à²Ł, 䶵, âķĬ, à°µ, ðĿĻ°, Ý¥]]."
]
}
|
[[176,59],[170,57],[179,68],[174,77],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_116><DEPTH_101><DEPTH_75><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_28><DEPTH_26><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_28><DEPTH_101><DEPTH_8><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_125><DEPTH_116><DEPTH_75><DEPTH_32><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[171,54],[170,57],[179,68],[174,77],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê²Ļ, áĮĶ, áĮĶ, ãĦ§, à°µ, ðĿĻ¼, Ý¥], [ãĪª, áĮĦ, áĮĶ, ï±Ĭ, à°µ, ðĿĻ¼, Ý¥], [âļ£, áĭ©, áĮĶ, áħ£, à°µ, ðĿĻº, Ý¥], [âĶŀ, áī¨, áĶĬ, á¥Ķ, à°µ, ðĿĻ¸, Ý¥], [âĶŀ, áģ¼, âĶŀ, ï±Ĭ, à°µ, ðĿĻ°, Ý¥], [ḻ, áĢı, â²¢, ⣰, à°µ, ðĿĻ°, Ý¥], [ḻ, à²Ł, 䶵, âķĬ, à°µ, ðĿĻ°, Ý¥], [á¨ģ, à²Ł, ê²´, ðŁħĵ, à°µ, ðĿĻ¸, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ê²Ļ, áĮĶ, áĮĶ, ãĦ§, à°µ, ðĿĻ¼, Ý¥], [ãĪª, áĮĦ, áĮĶ, ï±Ĭ, à°µ, ðĿĻ¼, Ý¥], [âļ£, áĭ©, áĮĶ, áħ£, à°µ, ðĿĻº, Ý¥], [âĶŀ, áī¨, áĶĬ, á¥Ķ, à°µ, ðĿĻ¸, Ý¥], [âĶŀ, áģ¼, âĶŀ, ï±Ĭ, à°µ, ðĿĻ°, Ý¥], [ḻ, áĢı, â²¢, ⣰, à°µ, ðĿĻ°, Ý¥], [ḻ, à²Ł, 䶵, âķĬ, à°µ, ðĿĻ°, Ý¥], [á¨ģ, à²Ł, ê²´, ðŁħĵ, à°µ, ðĿĻ¸, Ý¥]]."
]
}
|
[[171,54],[170,57],[179,68],[174,77],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_116><DEPTH_101><DEPTH_75><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_28><DEPTH_26><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_28><DEPTH_101><DEPTH_8><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_116><DEPTH_75><DEPTH_32><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[171,54],[170,66],[170,71],[174,77],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ãĪª, áĮĦ, áĮĶ, ï±Ĭ, à°µ, ðĿĻ¼, Ý¥], [âļ£, áĭ©, áĮĶ, áħ£, à°µ, ðĿĻº, Ý¥], [âĶŀ, áī¨, áĶĬ, á¥Ķ, à°µ, ðĿĻ¸, Ý¥], [âĶŀ, áģ¼, âĶŀ, ï±Ĭ, à°µ, ðĿĻ°, Ý¥], [ḻ, áĢı, â²¢, ⣰, à°µ, ðĿĻ°, Ý¥], [ḻ, à²Ł, 䶵, âķĬ, à°µ, ðĿĻ°, Ý¥], [á¨ģ, à²Ł, ê²´, ðŁħĵ, à°µ, ðĿĻ¸, Ý¥], [ḻ, à²Ł, 롼, ðĿĺIJ, à°µ, ðĿĻ¸, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ãĪª, áĮĦ, áĮĶ, ï±Ĭ, à°µ, ðĿĻ¼, Ý¥], [âļ£, áĭ©, áĮĶ, áħ£, à°µ, ðĿĻº, Ý¥], [âĶŀ, áī¨, áĶĬ, á¥Ķ, à°µ, ðĿĻ¸, Ý¥], [âĶŀ, áģ¼, âĶŀ, ï±Ĭ, à°µ, ðĿĻ°, Ý¥], [ḻ, áĢı, â²¢, ⣰, à°µ, ðĿĻ°, Ý¥], [ḻ, à²Ł, 䶵, âķĬ, à°µ, ðĿĻ°, Ý¥], [á¨ģ, à²Ł, ê²´, ðŁħĵ, à°µ, ðĿĻ¸, Ý¥], [ḻ, à²Ł, 롼, ðĿĺIJ, à°µ, ðĿĻ¸, Ý¥]]."
]
}
|
[[171,54],[170,66],[170,71],[174,77],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_75><DEPTH_101><DEPTH_116><DEPTH_101><DEPTH_75><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_28><DEPTH_26><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_74><DEPTH_32><DEPTH_28><DEPTH_101><DEPTH_8><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_116><DEPTH_75><DEPTH_32><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[170,57],[170,77],[170,71],[174,77],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âļ£, áĭ©, áĮĶ, áħ£, à°µ, ðĿĻº, Ý¥], [âĶŀ, áī¨, áĶĬ, á¥Ķ, à°µ, ðĿĻ¸, Ý¥], [âĶŀ, áģ¼, âĶŀ, ï±Ĭ, à°µ, ðĿĻ°, Ý¥], [ḻ, áĢı, â²¢, ⣰, à°µ, ðĿĻ°, Ý¥], [ḻ, à²Ł, 䶵, âķĬ, à°µ, ðĿĻ°, Ý¥], [á¨ģ, à²Ł, ê²´, ðŁħĵ, à°µ, ðĿĻ¸, Ý¥], [ḻ, à²Ł, 롼, ðĿĺIJ, à°µ, ðĿĻ¸, Ý¥], [áłĦ, à²Ł, íĵ¬, ðĿĵ¹, à°µ, ðĿĻ°, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[âļ£, áĭ©, áĮĶ, áħ£, à°µ, ðĿĻº, Ý¥], [âĶŀ, áī¨, áĶĬ, á¥Ķ, à°µ, ðĿĻ¸, Ý¥], [âĶŀ, áģ¼, âĶŀ, ï±Ĭ, à°µ, ðĿĻ°, Ý¥], [ḻ, áĢı, â²¢, ⣰, à°µ, ðĿĻ°, Ý¥], [ḻ, à²Ł, 䶵, âķĬ, à°µ, ðĿĻ°, Ý¥], [á¨ģ, à²Ł, ê²´, ðŁħĵ, à°µ, ðĿĻ¸, Ý¥], [ḻ, à²Ł, 롼, ðĿĺIJ, à°µ, ðĿĻ¸, Ý¥], [áłĦ, à²Ł, íĵ¬, ðĿĵ¹, à°µ, ðĿĻ°, Ý¥]]."
]
}
|
[[170,57],[170,77],[170,71],[174,77],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_116><DEPTH_101><DEPTH_75><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_55><DEPTH_26><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_28><DEPTH_101><DEPTH_8><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_116><DEPTH_8><DEPTH_116><DEPTH_75><DEPTH_32><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[174,59],[180,59],[170,73],[174,78],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âĶŀ, áī¨, áĶĬ, á¥Ķ, à°µ, ðĿĻ¸, Ý¥], [âĶŀ, áģ¼, âĶŀ, ï±Ĭ, à°µ, ðĿĻ°, Ý¥], [ḻ, áĢı, â²¢, ⣰, à°µ, ðĿĻ°, Ý¥], [ḻ, à²Ł, 䶵, âķĬ, à°µ, ðĿĻ°, Ý¥], [á¨ģ, à²Ł, ê²´, ðŁħĵ, à°µ, ðĿĻ¸, Ý¥], [ḻ, à²Ł, 롼, ðĿĺIJ, à°µ, ðĿĻ¸, Ý¥], [áłĦ, à²Ł, íĵ¬, ðĿĵ¹, à°µ, ðĿĻ°, Ý¥], [áłĦ, à²Ł, 臘, ï¥ł, à°µ, ðĿĺIJ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[âĶŀ, áī¨, áĶĬ, á¥Ķ, à°µ, ðĿĻ¸, Ý¥], [âĶŀ, áģ¼, âĶŀ, ï±Ĭ, à°µ, ðĿĻ°, Ý¥], [ḻ, áĢı, â²¢, ⣰, à°µ, ðĿĻ°, Ý¥], [ḻ, à²Ł, 䶵, âķĬ, à°µ, ðĿĻ°, Ý¥], [á¨ģ, à²Ł, ê²´, ðŁħĵ, à°µ, ðĿĻ¸, Ý¥], [ḻ, à²Ł, 롼, ðĿĺIJ, à°µ, ðĿĻ¸, Ý¥], [áłĦ, à²Ł, íĵ¬, ðĿĵ¹, à°µ, ðĿĻ°, Ý¥], [áłĦ, à²Ł, 臘, ï¥ł, à°µ, ðĿĺIJ, Ý¥]]."
]
}
|
[[174,59],[180,59],[170,73],[174,78],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_69><DEPTH_75><DEPTH_101><DEPTH_116><DEPTH_101><DEPTH_75><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_55><DEPTH_26><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_74><DEPTH_32><DEPTH_28><DEPTH_101><DEPTH_8><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_116><DEPTH_75><DEPTH_56><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[170,57],[180,59],[170,73],[174,78],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âĶŀ, áģ¼, âĶŀ, ï±Ĭ, à°µ, ðĿĻ°, Ý¥], [ḻ, áĢı, â²¢, ⣰, à°µ, ðĿĻ°, Ý¥], [ḻ, à²Ł, 䶵, âķĬ, à°µ, ðĿĻ°, Ý¥], [á¨ģ, à²Ł, ê²´, ðŁħĵ, à°µ, ðĿĻ¸, Ý¥], [ḻ, à²Ł, 롼, ðĿĺIJ, à°µ, ðĿĻ¸, Ý¥], [áłĦ, à²Ł, íĵ¬, ðĿĵ¹, à°µ, ðĿĻ°, Ý¥], [áłĦ, à²Ł, 臘, ï¥ł, à°µ, ðĿĺIJ, Ý¥], [ḻ, à²Ł, 辰, 䶵, à°µ, ðĿķ±, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[âĶŀ, áģ¼, âĶŀ, ï±Ĭ, à°µ, ðĿĻ°, Ý¥], [ḻ, áĢı, â²¢, ⣰, à°µ, ðĿĻ°, Ý¥], [ḻ, à²Ł, 䶵, âķĬ, à°µ, ðĿĻ°, Ý¥], [á¨ģ, à²Ł, ê²´, ðŁħĵ, à°µ, ðĿĻ¸, Ý¥], [ḻ, à²Ł, 롼, ðĿĺIJ, à°µ, ðĿĻ¸, Ý¥], [áłĦ, à²Ł, íĵ¬, ðĿĵ¹, à°µ, ðĿĻ°, Ý¥], [áłĦ, à²Ł, 臘, ï¥ł, à°µ, ðĿĺIJ, Ý¥], [ḻ, à²Ł, 辰, 䶵, à°µ, ðĿķ±, Ý¥]]."
]
}
|
[[170,57],[180,59],[170,73],[174,78],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_116><DEPTH_101><DEPTH_75><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_28><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_55><DEPTH_26><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_74><DEPTH_32><DEPTH_28><DEPTH_56><DEPTH_8><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_116><DEPTH_75><DEPTH_56><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[174,56],[180,89],[170,74],[174,78],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ḻ, áĢı, â²¢, ⣰, à°µ, ðĿĻ°, Ý¥], [ḻ, à²Ł, 䶵, âķĬ, à°µ, ðĿĻ°, Ý¥], [á¨ģ, à²Ł, ê²´, ðŁħĵ, à°µ, ðĿĻ¸, Ý¥], [ḻ, à²Ł, 롼, ðĿĺIJ, à°µ, ðĿĻ¸, Ý¥], [áłĦ, à²Ł, íĵ¬, ðĿĵ¹, à°µ, ðĿĻ°, Ý¥], [áłĦ, à²Ł, 臘, ï¥ł, à°µ, ðĿĺIJ, Ý¥], [ḻ, à²Ł, 辰, 䶵, à°µ, ðĿķ±, Ý¥], [âļ£, à²Ł, ðIJŃĬ, âĺµ, à°µ, ðĿķį, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ḻ, áĢı, â²¢, ⣰, à°µ, ðĿĻ°, Ý¥], [ḻ, à²Ł, 䶵, âķĬ, à°µ, ðĿĻ°, Ý¥], [á¨ģ, à²Ł, ê²´, ðŁħĵ, à°µ, ðĿĻ¸, Ý¥], [ḻ, à²Ł, 롼, ðĿĺIJ, à°µ, ðĿĻ¸, Ý¥], [áłĦ, à²Ł, íĵ¬, ðĿĵ¹, à°µ, ðĿĻ°, Ý¥], [áłĦ, à²Ł, 臘, ï¥ł, à°µ, ðĿĺIJ, Ý¥], [ḻ, à²Ł, 辰, 䶵, à°µ, ðĿķ±, Ý¥], [âļ£, à²Ł, ðIJŃĬ, âĺµ, à°µ, ðĿķį, Ý¥]]."
]
}
|
[[174,56],[180,89],[170,74],[174,78],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_69><DEPTH_75><DEPTH_101><DEPTH_116><DEPTH_101><DEPTH_75><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_55><DEPTH_26><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_28><DEPTH_56><DEPTH_32><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_116><DEPTH_75><DEPTH_56><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[170,56],[181,59],[170,74],[174,78],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ḻ, à²Ł, 䶵, âķĬ, à°µ, ðĿĻ°, Ý¥], [á¨ģ, à²Ł, ê²´, ðŁħĵ, à°µ, ðĿĻ¸, Ý¥], [ḻ, à²Ł, 롼, ðĿĺIJ, à°µ, ðĿĻ¸, Ý¥], [áłĦ, à²Ł, íĵ¬, ðĿĵ¹, à°µ, ðĿĻ°, Ý¥], [áłĦ, à²Ł, 臘, ï¥ł, à°µ, ðĿĺIJ, Ý¥], [ḻ, à²Ł, 辰, 䶵, à°µ, ðĿķ±, Ý¥], [âļ£, à²Ł, ðIJŃĬ, âĺµ, à°µ, ðĿķį, Ý¥], [ḻ, à²Ł, ðĸ¥, âĺµ, à°µ, ðĿĵ¬, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ḻ, à²Ł, 䶵, âķĬ, à°µ, ðĿĻ°, Ý¥], [á¨ģ, à²Ł, ê²´, ðŁħĵ, à°µ, ðĿĻ¸, Ý¥], [ḻ, à²Ł, 롼, ðĿĺIJ, à°µ, ðĿĻ¸, Ý¥], [áłĦ, à²Ł, íĵ¬, ðĿĵ¹, à°µ, ðĿĻ°, Ý¥], [áłĦ, à²Ł, 臘, ï¥ł, à°µ, ðĿĺIJ, Ý¥], [ḻ, à²Ł, 辰, 䶵, à°µ, ðĿķ±, Ý¥], [âļ£, à²Ł, ðIJŃĬ, âĺµ, à°µ, ðĿķį, Ý¥], [ḻ, à²Ł, ðĸ¥, âĺµ, à°µ, ðĿĵ¬, Ý¥]]."
]
}
|
[[170,56],[181,59],[170,74],[174,78],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_69><DEPTH_75><DEPTH_101><DEPTH_116><DEPTH_101><DEPTH_75><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_55><DEPTH_26><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_28><DEPTH_84><DEPTH_32><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_116><DEPTH_75><DEPTH_56><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[170,59],[179,73],[170,76],[174,79],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[á¨ģ, à²Ł, ê²´, ðŁħĵ, à°µ, ðĿĻ¸, Ý¥], [ḻ, à²Ł, 롼, ðĿĺIJ, à°µ, ðĿĻ¸, Ý¥], [áłĦ, à²Ł, íĵ¬, ðĿĵ¹, à°µ, ðĿĻ°, Ý¥], [áłĦ, à²Ł, 臘, ï¥ł, à°µ, ðĿĺIJ, Ý¥], [ḻ, à²Ł, 辰, 䶵, à°µ, ðĿķ±, Ý¥], [âļ£, à²Ł, ðIJŃĬ, âĺµ, à°µ, ðĿķį, Ý¥], [ḻ, à²Ł, ðĸ¥, âĺµ, à°µ, ðĿĵ¬, Ý¥], [â²¢, à²Ł, ðĸ¥¨, âĺµ, à°µ, ðĿij³, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[á¨ģ, à²Ł, ê²´, ðŁħĵ, à°µ, ðĿĻ¸, Ý¥], [ḻ, à²Ł, 롼, ðĿĺIJ, à°µ, ðĿĻ¸, Ý¥], [áłĦ, à²Ł, íĵ¬, ðĿĵ¹, à°µ, ðĿĻ°, Ý¥], [áłĦ, à²Ł, 臘, ï¥ł, à°µ, ðĿĺIJ, Ý¥], [ḻ, à²Ł, 辰, 䶵, à°µ, ðĿķ±, Ý¥], [âļ£, à²Ł, ðIJŃĬ, âĺµ, à°µ, ðĿķį, Ý¥], [ḻ, à²Ł, ðĸ¥, âĺµ, à°µ, ðĿĵ¬, Ý¥], [â²¢, à²Ł, ðĸ¥¨, âĺµ, à°µ, ðĿij³, Ý¥]]."
]
}
|
[[170,59],[179,73],[170,76],[174,79],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_69><DEPTH_75><DEPTH_101><DEPTH_116><DEPTH_101><DEPTH_75><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_55><DEPTH_26><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_28><DEPTH_84><DEPTH_32><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_116><DEPTH_75><DEPTH_56><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[174,54],[179,73],[170,76],[174,79],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ḻ, à²Ł, 롼, ðĿĺIJ, à°µ, ðĿĻ¸, Ý¥], [áłĦ, à²Ł, íĵ¬, ðĿĵ¹, à°µ, ðĿĻ°, Ý¥], [áłĦ, à²Ł, 臘, ï¥ł, à°µ, ðĿĺIJ, Ý¥], [ḻ, à²Ł, 辰, 䶵, à°µ, ðĿķ±, Ý¥], [âļ£, à²Ł, ðIJŃĬ, âĺµ, à°µ, ðĿķį, Ý¥], [ḻ, à²Ł, ðĸ¥, âĺµ, à°µ, ðĿĵ¬, Ý¥], [â²¢, à²Ł, ðĸ¥¨, âĺµ, à°µ, ðĿij³, Ý¥], [ê³Ĥ, à²Ł, ðĿĵ¬, âĺµ, à°µ, ðIJŃĬ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ḻ, à²Ł, 롼, ðĿĺIJ, à°µ, ðĿĻ¸, Ý¥], [áłĦ, à²Ł, íĵ¬, ðĿĵ¹, à°µ, ðĿĻ°, Ý¥], [áłĦ, à²Ł, 臘, ï¥ł, à°µ, ðĿĺIJ, Ý¥], [ḻ, à²Ł, 辰, 䶵, à°µ, ðĿķ±, Ý¥], [âļ£, à²Ł, ðIJŃĬ, âĺµ, à°µ, ðĿķį, Ý¥], [ḻ, à²Ł, ðĸ¥, âĺµ, à°µ, ðĿĵ¬, Ý¥], [â²¢, à²Ł, ðĸ¥¨, âĺµ, à°µ, ðĿij³, Ý¥], [ê³Ĥ, à²Ł, ðĿĵ¬, âĺµ, à°µ, ðIJŃĬ, Ý¥]]."
]
}
|
[[174,54],[179,73],[170,76],[174,79],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_116><DEPTH_101><DEPTH_75><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_28><DEPTH_26><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_28><DEPTH_84><DEPTH_32><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_116><DEPTH_75><DEPTH_32><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[174,56],[179,68],[170,73],[174,79],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áłĦ, à²Ł, íĵ¬, ðĿĵ¹, à°µ, ðĿĻ°, Ý¥], [áłĦ, à²Ł, 臘, ï¥ł, à°µ, ðĿĺIJ, Ý¥], [ḻ, à²Ł, 辰, 䶵, à°µ, ðĿķ±, Ý¥], [âļ£, à²Ł, ðIJŃĬ, âĺµ, à°µ, ðĿķį, Ý¥], [ḻ, à²Ł, ðĸ¥, âĺµ, à°µ, ðĿĵ¬, Ý¥], [â²¢, à²Ł, ðĸ¥¨, âĺµ, à°µ, ðĿij³, Ý¥], [ê³Ĥ, à²Ł, ðĿĵ¬, âĺµ, à°µ, ðIJŃĬ, Ý¥], [íĵ®, à²Ł, ðĿķį, âĺµ, à°³, ï¥ł, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áłĦ, à²Ł, íĵ¬, ðĿĵ¹, à°µ, ðĿĻ°, Ý¥], [áłĦ, à²Ł, 臘, ï¥ł, à°µ, ðĿĺIJ, Ý¥], [ḻ, à²Ł, 辰, 䶵, à°µ, ðĿķ±, Ý¥], [âļ£, à²Ł, ðIJŃĬ, âĺµ, à°µ, ðĿķį, Ý¥], [ḻ, à²Ł, ðĸ¥, âĺµ, à°µ, ðĿĵ¬, Ý¥], [â²¢, à²Ł, ðĸ¥¨, âĺµ, à°µ, ðĿij³, Ý¥], [ê³Ĥ, à²Ł, ðĿĵ¬, âĺµ, à°µ, ðIJŃĬ, Ý¥], [íĵ®, à²Ł, ðĿķį, âĺµ, à°³, ï¥ł, Ý¥]]."
]
}
|
[[174,56],[179,68],[170,73],[174,79],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_25><DEPTH_101><DEPTH_26><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_28><DEPTH_26><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_28><DEPTH_30><DEPTH_32><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_116><DEPTH_75><DEPTH_56><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[170,59],[179,68],[170,73],[174,79],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áłĦ, à²Ł, 臘, ï¥ł, à°µ, ðĿĺIJ, Ý¥], [ḻ, à²Ł, 辰, 䶵, à°µ, ðĿķ±, Ý¥], [âļ£, à²Ł, ðIJŃĬ, âĺµ, à°µ, ðĿķį, Ý¥], [ḻ, à²Ł, ðĸ¥, âĺµ, à°µ, ðĿĵ¬, Ý¥], [â²¢, à²Ł, ðĸ¥¨, âĺµ, à°µ, ðĿij³, Ý¥], [ê³Ĥ, à²Ł, ðĿĵ¬, âĺµ, à°µ, ðIJŃĬ, Ý¥], [íĵ®, à²Ł, ðĿķį, âĺµ, à°³, ï¥ł, Ý¥], [ïŃ², à²Ł, ðĿĸĸ, âĺµ, à¤ij, 臘, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áłĦ, à²Ł, 臘, ï¥ł, à°µ, ðĿĺIJ, Ý¥], [ḻ, à²Ł, 辰, 䶵, à°µ, ðĿķ±, Ý¥], [âļ£, à²Ł, ðIJŃĬ, âĺµ, à°µ, ðĿķį, Ý¥], [ḻ, à²Ł, ðĸ¥, âĺµ, à°µ, ðĿĵ¬, Ý¥], [â²¢, à²Ł, ðĸ¥¨, âĺµ, à°µ, ðĿij³, Ý¥], [ê³Ĥ, à²Ł, ðĿĵ¬, âĺµ, à°µ, ðIJŃĬ, Ý¥], [íĵ®, à²Ł, ðĿķį, âĺµ, à°³, ï¥ł, Ý¥], [ïŃ², à²Ł, ðĿĸĸ, âĺµ, à¤ij, 臘, Ý¥]]."
]
}
|
[[170,59],[179,68],[170,73],[174,79],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_69><DEPTH_75><DEPTH_101><DEPTH_116><DEPTH_101><DEPTH_75><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_28><DEPTH_26><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_28><DEPTH_84><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_116><DEPTH_8><DEPTH_116><DEPTH_75><DEPTH_56><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[170,57],[179,68],[170,76],[176,81],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ḻ, à²Ł, 辰, 䶵, à°µ, ðĿķ±, Ý¥], [âļ£, à²Ł, ðIJŃĬ, âĺµ, à°µ, ðĿķį, Ý¥], [ḻ, à²Ł, ðĸ¥, âĺµ, à°µ, ðĿĵ¬, Ý¥], [â²¢, à²Ł, ðĸ¥¨, âĺµ, à°µ, ðĿij³, Ý¥], [ê³Ĥ, à²Ł, ðĿĵ¬, âĺµ, à°µ, ðIJŃĬ, Ý¥], [íĵ®, à²Ł, ðĿķį, âĺµ, à°³, ï¥ł, Ý¥], [ïŃ², à²Ł, ðĿĸĸ, âĺµ, à¤ij, 臘, Ý¥], [ðĿĵķ, à²Ł, ðĿĺIJ, âĺµ, à¤ij, íĵ¶, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ḻ, à²Ł, 辰, 䶵, à°µ, ðĿķ±, Ý¥], [âļ£, à²Ł, ðIJŃĬ, âĺµ, à°µ, ðĿķį, Ý¥], [ḻ, à²Ł, ðĸ¥, âĺµ, à°µ, ðĿĵ¬, Ý¥], [â²¢, à²Ł, ðĸ¥¨, âĺµ, à°µ, ðĿij³, Ý¥], [ê³Ĥ, à²Ł, ðĿĵ¬, âĺµ, à°µ, ðIJŃĬ, Ý¥], [íĵ®, à²Ł, ðĿķį, âĺµ, à°³, ï¥ł, Ý¥], [ïŃ², à²Ł, ðĿĸĸ, âĺµ, à¤ij, 臘, Ý¥], [ðĿĵķ, à²Ł, ðĿĺIJ, âĺµ, à¤ij, íĵ¶, Ý¥]]."
]
}
|
[[170,57],[179,68],[170,76],[176,81],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_25><DEPTH_101><DEPTH_26><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_28><DEPTH_26><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_28><DEPTH_84><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_125><DEPTH_116><DEPTH_75><DEPTH_56><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_125><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[170,66],[179,68],[170,76],[176,81],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âļ£, à²Ł, ðIJŃĬ, âĺµ, à°µ, ðĿķį, Ý¥], [ḻ, à²Ł, ðĸ¥, âĺµ, à°µ, ðĿĵ¬, Ý¥], [â²¢, à²Ł, ðĸ¥¨, âĺµ, à°µ, ðĿij³, Ý¥], [ê³Ĥ, à²Ł, ðĿĵ¬, âĺµ, à°µ, ðIJŃĬ, Ý¥], [íĵ®, à²Ł, ðĿķį, âĺµ, à°³, ï¥ł, Ý¥], [ïŃ², à²Ł, ðĿĸĸ, âĺµ, à¤ij, 臘, Ý¥], [ðĿĵķ, à²Ł, ðĿĺIJ, âĺµ, à¤ij, íĵ¶, Ý¥], [ðĿĵ¾, à²Ł, ðĿĻ®, âĺµ, Ýĵ, íĵ®, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[âļ£, à²Ł, ðIJŃĬ, âĺµ, à°µ, ðĿķį, Ý¥], [ḻ, à²Ł, ðĸ¥, âĺµ, à°µ, ðĿĵ¬, Ý¥], [â²¢, à²Ł, ðĸ¥¨, âĺµ, à°µ, ðĿij³, Ý¥], [ê³Ĥ, à²Ł, ðĿĵ¬, âĺµ, à°µ, ðIJŃĬ, Ý¥], [íĵ®, à²Ł, ðĿķį, âĺµ, à°³, ï¥ł, Ý¥], [ïŃ², à²Ł, ðĿĸĸ, âĺµ, à¤ij, 臘, Ý¥], [ðĿĵķ, à²Ł, ðĿĺIJ, âĺµ, à¤ij, íĵ¶, Ý¥], [ðĿĵ¾, à²Ł, ðĿĻ®, âĺµ, Ýĵ, íĵ®, Ý¥]]."
]
}
|
[[170,66],[179,68],[170,76],[176,81],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_25><DEPTH_101><DEPTH_26><DEPTH_69><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_28><DEPTH_26><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_55><DEPTH_30><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_116><DEPTH_75><DEPTH_32><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_125><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[170,77],[170,71],[170,76],[176,81],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ḻ, à²Ł, ðĸ¥, âĺµ, à°µ, ðĿĵ¬, Ý¥], [â²¢, à²Ł, ðĸ¥¨, âĺµ, à°µ, ðĿij³, Ý¥], [ê³Ĥ, à²Ł, ðĿĵ¬, âĺµ, à°µ, ðIJŃĬ, Ý¥], [íĵ®, à²Ł, ðĿķį, âĺµ, à°³, ï¥ł, Ý¥], [ïŃ², à²Ł, ðĿĸĸ, âĺµ, à¤ij, 臘, Ý¥], [ðĿĵķ, à²Ł, ðĿĺIJ, âĺµ, à¤ij, íĵ¶, Ý¥], [ðĿĵ¾, à²Ł, ðĿĻ®, âĺµ, Ýĵ, íĵ®, Ý¥], [ðĿķ¡, à²Ł, ðĿĻ¸, âĺµ, Ôij, íĭį, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ḻ, à²Ł, ðĸ¥, âĺµ, à°µ, ðĿĵ¬, Ý¥], [â²¢, à²Ł, ðĸ¥¨, âĺµ, à°µ, ðĿij³, Ý¥], [ê³Ĥ, à²Ł, ðĿĵ¬, âĺµ, à°µ, ðIJŃĬ, Ý¥], [íĵ®, à²Ł, ðĿķį, âĺµ, à°³, ï¥ł, Ý¥], [ïŃ², à²Ł, ðĿĸĸ, âĺµ, à¤ij, 臘, Ý¥], [ðĿĵķ, à²Ł, ðĿĺIJ, âĺµ, à¤ij, íĵ¶, Ý¥], [ðĿĵ¾, à²Ł, ðĿĻ®, âĺµ, Ýĵ, íĵ®, Ý¥], [ðĿķ¡, à²Ł, ðĿĻ¸, âĺµ, Ôij, íĭį, Ý¥]]."
]
}
|
[[170,77],[170,71],[170,76],[176,81],[174,91]]
|
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