MolmoAct Data Mixture
Collection
All datasets for the MolmoAct (Multimodal Open Language Model for Action) release.
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4 items
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Updated
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12
Dataset Viewer
image
imagewidth (px) 256
256
| wrist
imagewidth (px) 256
256
| conversations
dict | annotation
stringlengths 8
51
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{
"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_9><DEPTH_116><DEPTH_125><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_55><DEPTH_9><DEPTH_116><DEPTH_116><DEPTH_69><DEPTH_28><DEPTH_25><DEPTH_56><DEPTH_56><DEPTH_125><DEPTH_125><DEPTH_84><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_9><DEPTH_74><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_69><DEPTH_125><DEPTH_69><DEPTH_25><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_30><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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 [[145,42],[65,77],[79,153],[171,54],[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 [[ë±ĭ, ðIJ¤Ķ, ðĿĵŀ, ãĪª, ðŁħ¢, áĭ©, ðŁİij], [ëĸ°, ï¦ĥ, ðĿĵŀ, 䶵, ðŁıĩ, áĭ©, ðŁİij], [â¡¢, íĽľ, ðĿĵŀ, ê²´, ðŁıĩ, áĭ©, ðŁİij], [âļĤ, íĵĸ, ðĿĵŀ, ê²´, Ȳ, áĭ©, ðŁİij], [á¾Ķ, ë±IJ, ðĿĵŀ, íĵ¬, Ȳ, áĭ©, ðŁİij], [áłĤ, â¡¢, ðIJ°¼, ïŃ², ðŁıĩ, áĭ©, ðŁİij], [áĪ¾, âĻĻ, ðĿĵ°, ðĸ¥, ðŁıĩ, áĮĶ, ðŁİij], [Éĺ, áĮ½, ðĿĵ°, ðĿĵ¾, ðŁıĩ, áĴĮ, ðŁİij]]."
]
}
| 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 [[ë±ĭ, ðIJ¤Ķ, ðĿĵŀ, ãĪª, ðŁħ¢, áĭ©, ðŁİij], [ëĸ°, ï¦ĥ, ðĿĵŀ, 䶵, ðŁıĩ, áĭ©, ðŁİij], [â¡¢, íĽľ, ðĿĵŀ, ê²´, ðŁıĩ, áĭ©, ðŁİij], [âļĤ, íĵĸ, ðĿĵŀ, ê²´, Ȳ, áĭ©, ðŁİij], [á¾Ķ, ë±IJ, ðĿĵŀ, íĵ¬, Ȳ, áĭ©, ðŁİij], [áłĤ, â¡¢, ðIJ°¼, ïŃ², ðŁıĩ, áĭ©, ðŁİij], [áĪ¾, âĻĻ, ðĿĵ°, ðĸ¥, ðŁıĩ, áĮĶ, ðŁİij], [Éĺ, áĮ½, ðĿĵ°, ðĿĵ¾, ðŁıĩ, áĴĮ, ðŁİij]]."
]
}
|
[[145,42],[65,77],[79,153],[171,54],[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_9><DEPTH_116><DEPTH_125><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_55><DEPTH_9><DEPTH_116><DEPTH_116><DEPTH_69><DEPTH_28><DEPTH_25><DEPTH_56><DEPTH_56><DEPTH_125><DEPTH_125><DEPTH_84><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_116><DEPTH_74><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_69><DEPTH_125><DEPTH_8><DEPTH_25><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_30><DEPTH_8><DEPTH_8><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_26><DEPTH_26><DEPTH_75><DEPTH_26><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 [[150,43],[62,12],[97,155],[171,54],[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 [[ëĸ°, ï¦ĥ, ðĿĵŀ, 䶵, ðŁıĩ, áĭ©, ðŁİij], [â¡¢, íĽľ, ðĿĵŀ, ê²´, ðŁıĩ, áĭ©, ðŁİij], [âļĤ, íĵĸ, ðĿĵŀ, ê²´, Ȳ, áĭ©, ðŁİij], [á¾Ķ, ë±IJ, ðĿĵŀ, íĵ¬, Ȳ, áĭ©, ðŁİij], [áłĤ, â¡¢, ðIJ°¼, ïŃ², ðŁıĩ, áĭ©, ðŁİij], [áĪ¾, âĻĻ, ðĿĵ°, ðĸ¥, ðŁıĩ, áĮĶ, ðŁİij], [Éĺ, áĮ½, ðĿĵ°, ðĿĵ¾, ðŁıĩ, áĴĮ, ðŁİij], [ìŁĻ, Éĺ, ðĿĵ°, ðĿĸĸ, Ȳ, áĶĬ, ðŁİij]]."
]
}
| 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 [[ëĸ°, ï¦ĥ, ðĿĵŀ, 䶵, ðŁıĩ, áĭ©, ðŁİij], [â¡¢, íĽľ, ðĿĵŀ, ê²´, ðŁıĩ, áĭ©, ðŁİij], [âļĤ, íĵĸ, ðĿĵŀ, ê²´, Ȳ, áĭ©, ðŁİij], [á¾Ķ, ë±IJ, ðĿĵŀ, íĵ¬, Ȳ, áĭ©, ðŁİij], [áłĤ, â¡¢, ðIJ°¼, ïŃ², ðŁıĩ, áĭ©, ðŁİij], [áĪ¾, âĻĻ, ðĿĵ°, ðĸ¥, ðŁıĩ, áĮĶ, ðŁİij], [Éĺ, áĮ½, ðĿĵ°, ðĿĵ¾, ðŁıĩ, áĴĮ, ðŁİij], [ìŁĻ, Éĺ, ðĿĵ°, ðĿĸĸ, Ȳ, áĶĬ, ðŁİij]]."
]
}
|
[[150,43],[62,12],[97,155],[171,54],[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_69><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_55><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_69><DEPTH_28><DEPTH_25><DEPTH_56><DEPTH_56><DEPTH_125><DEPTH_125><DEPTH_84><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_9><DEPTH_125><DEPTH_69><DEPTH_25><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_30><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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 [[143,42],[65,15],[97,155],[171,54],[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 [[â¡¢, íĽľ, ðĿĵŀ, ê²´, ðŁıĩ, áĭ©, ðŁİij], [âļĤ, íĵĸ, ðĿĵŀ, ê²´, Ȳ, áĭ©, ðŁİij], [á¾Ķ, ë±IJ, ðĿĵŀ, íĵ¬, Ȳ, áĭ©, ðŁİij], [áłĤ, â¡¢, ðIJ°¼, ïŃ², ðŁıĩ, áĭ©, ðŁİij], [áĪ¾, âĻĻ, ðĿĵ°, ðĸ¥, ðŁıĩ, áĮĶ, ðŁİij], [Éĺ, áĮ½, ðĿĵ°, ðĿĵ¾, ðŁıĩ, áĴĮ, ðŁİij], [ìŁĻ, Éĺ, ðĿĵ°, ðĿĸĸ, Ȳ, áĶĬ, ðŁİij], [ìĦIJ, ìł°, ðĿĵ°, ðĿĻ°, ÔĪ, á¨ģ, ðŁİij]]."
]
}
| 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 [[â¡¢, íĽľ, ðĿĵŀ, ê²´, ðŁıĩ, áĭ©, ðŁİij], [âļĤ, íĵĸ, ðĿĵŀ, ê²´, Ȳ, áĭ©, ðŁİij], [á¾Ķ, ë±IJ, ðĿĵŀ, íĵ¬, Ȳ, áĭ©, ðŁİij], [áłĤ, â¡¢, ðIJ°¼, ïŃ², ðŁıĩ, áĭ©, ðŁİij], [áĪ¾, âĻĻ, ðĿĵ°, ðĸ¥, ðŁıĩ, áĮĶ, ðŁİij], [Éĺ, áĮ½, ðĿĵ°, ðĿĵ¾, ðŁıĩ, áĴĮ, ðŁİij], [ìŁĻ, Éĺ, ðĿĵ°, ðĿĸĸ, Ȳ, áĶĬ, ðŁİij], [ìĦIJ, ìł°, ðĿĵ°, ðĿĻ°, ÔĪ, á¨ģ, ðŁİij]]."
]
}
|
[[143,42],[65,15],[97,155],[171,54],[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_69><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_55><DEPTH_9><DEPTH_116><DEPTH_116><DEPTH_69><DEPTH_28><DEPTH_25><DEPTH_56><DEPTH_32><DEPTH_125><DEPTH_125><DEPTH_84><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_9><DEPTH_125><DEPTH_69><DEPTH_25><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_30><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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 [[137,42],[63,15],[84,150],[170,57],[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 [[âļĤ, íĵĸ, ðĿĵŀ, ê²´, Ȳ, áĭ©, ðŁİij], [á¾Ķ, ë±IJ, ðĿĵŀ, íĵ¬, Ȳ, áĭ©, ðŁİij], [áłĤ, â¡¢, ðIJ°¼, ïŃ², ðŁıĩ, áĭ©, ðŁİij], [áĪ¾, âĻĻ, ðĿĵ°, ðĸ¥, ðŁıĩ, áĮĶ, ðŁİij], [Éĺ, áĮ½, ðĿĵ°, ðĿĵ¾, ðŁıĩ, áĴĮ, ðŁİij], [ìŁĻ, Éĺ, ðĿĵ°, ðĿĸĸ, Ȳ, áĶĬ, ðŁİij], [ìĦIJ, ìł°, ðĿĵ°, ðĿĻ°, ÔĪ, á¨ģ, ðŁİij], [ë¼Ŀ, ìł°, ðĿĻľ, ðĿĺļ, Ýĵ, ḻ, ðŁİij]]."
]
}
| 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 [[âļĤ, íĵĸ, ðĿĵŀ, ê²´, Ȳ, áĭ©, ðŁİij], [á¾Ķ, ë±IJ, ðĿĵŀ, íĵ¬, Ȳ, áĭ©, ðŁİij], [áłĤ, â¡¢, ðIJ°¼, ïŃ², ðŁıĩ, áĭ©, ðŁİij], [áĪ¾, âĻĻ, ðĿĵ°, ðĸ¥, ðŁıĩ, áĮĶ, ðŁİij], [Éĺ, áĮ½, ðĿĵ°, ðĿĵ¾, ðŁıĩ, áĴĮ, ðŁİij], [ìŁĻ, Éĺ, ðĿĵ°, ðĿĸĸ, Ȳ, áĶĬ, ðŁİij], [ìĦIJ, ìł°, ðĿĵ°, ðĿĻ°, ÔĪ, á¨ģ, ðŁİij], [ë¼Ŀ, ìł°, ðĿĻľ, ðĿĺļ, Ýĵ, ḻ, ðŁİij]]."
]
}
|
[[137,42],[63,15],[84,150],[170,57],[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_69><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_55><DEPTH_9><DEPTH_116><DEPTH_116><DEPTH_69><DEPTH_28><DEPTH_25><DEPTH_101><DEPTH_32><DEPTH_84><DEPTH_125><DEPTH_84><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_9><DEPTH_125><DEPTH_69><DEPTH_28><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_30><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><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 [[137,43],[63,15],[84,150],[170,57],[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 [[á¾Ķ, ë±IJ, ðĿĵŀ, íĵ¬, Ȳ, áĭ©, ðŁİij], [áłĤ, â¡¢, ðIJ°¼, ïŃ², ðŁıĩ, áĭ©, ðŁİij], [áĪ¾, âĻĻ, ðĿĵ°, ðĸ¥, ðŁıĩ, áĮĶ, ðŁİij], [Éĺ, áĮ½, ðĿĵ°, ðĿĵ¾, ðŁıĩ, áĴĮ, ðŁİij], [ìŁĻ, Éĺ, ðĿĵ°, ðĿĸĸ, Ȳ, áĶĬ, ðŁİij], [ìĦIJ, ìł°, ðĿĵ°, ðĿĻ°, ÔĪ, á¨ģ, ðŁİij], [ë¼Ŀ, ìł°, ðĿĻľ, ðĿĺļ, Ýĵ, ḻ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁħ¢, ðĿķį, à¤ij, âĶŀ, ðŁİij]]."
]
}
| 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 [[á¾Ķ, ë±IJ, ðĿĵŀ, íĵ¬, Ȳ, áĭ©, ðŁİij], [áłĤ, â¡¢, ðIJ°¼, ïŃ², ðŁıĩ, áĭ©, ðŁİij], [áĪ¾, âĻĻ, ðĿĵ°, ðĸ¥, ðŁıĩ, áĮĶ, ðŁİij], [Éĺ, áĮ½, ðĿĵ°, ðĿĵ¾, ðŁıĩ, áĴĮ, ðŁİij], [ìŁĻ, Éĺ, ðĿĵ°, ðĿĸĸ, Ȳ, áĶĬ, ðŁİij], [ìĦIJ, ìł°, ðĿĵ°, ðĿĻ°, ÔĪ, á¨ģ, ðŁİij], [ë¼Ŀ, ìł°, ðĿĻľ, ðĿĺļ, Ýĵ, ḻ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁħ¢, ðĿķį, à¤ij, âĶŀ, ðŁİij]]."
]
}
|
[[137,43],[63,15],[84,150],[170,57],[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_9><DEPTH_9><DEPTH_69><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_55><DEPTH_9><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_101><DEPTH_32><DEPTH_84><DEPTH_125><DEPTH_84><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_9><DEPTH_125><DEPTH_69><DEPTH_28><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_30><DEPTH_8><DEPTH_8><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_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 [[135,43],[66,15],[97,157],[170,57],[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 [[áłĤ, â¡¢, ðIJ°¼, ïŃ², ðŁıĩ, áĭ©, ðŁİij], [áĪ¾, âĻĻ, ðĿĵ°, ðĸ¥, ðŁıĩ, áĮĶ, ðŁİij], [Éĺ, áĮ½, ðĿĵ°, ðĿĵ¾, ðŁıĩ, áĴĮ, ðŁİij], [ìŁĻ, Éĺ, ðĿĵ°, ðĿĸĸ, Ȳ, áĶĬ, ðŁİij], [ìĦIJ, ìł°, ðĿĵ°, ðĿĻ°, ÔĪ, á¨ģ, ðŁİij], [ë¼Ŀ, ìł°, ðĿĻľ, ðĿĺļ, Ýĵ, ḻ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁħ¢, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁıĩ, ðĿķį, à¤ij, âĶŀ, ðŁİij]]."
]
}
| 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 [[áłĤ, â¡¢, ðIJ°¼, ïŃ², ðŁıĩ, áĭ©, ðŁİij], [áĪ¾, âĻĻ, ðĿĵ°, ðĸ¥, ðŁıĩ, áĮĶ, ðŁİij], [Éĺ, áĮ½, ðĿĵ°, ðĿĵ¾, ðŁıĩ, áĴĮ, ðŁİij], [ìŁĻ, Éĺ, ðĿĵ°, ðĿĸĸ, Ȳ, áĶĬ, ðŁİij], [ìĦIJ, ìł°, ðĿĵ°, ðĿĻ°, ÔĪ, á¨ģ, ðŁİij], [ë¼Ŀ, ìł°, ðĿĻľ, ðĿĺļ, Ýĵ, ḻ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁħ¢, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁıĩ, ðĿķį, à¤ij, âĶŀ, ðŁİij]]."
]
}
|
[[135,43],[66,15],[97,157],[170,57],[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_9><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_55><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_101><DEPTH_32><DEPTH_103><DEPTH_125><DEPTH_84><DEPTH_28><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_9><DEPTH_125><DEPTH_69><DEPTH_28><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_30><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_26><DEPTH_26><DEPTH_75><DEPTH_26><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 [[131,44],[93,87],[97,157],[170,57],[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 [[áĪ¾, âĻĻ, ðĿĵ°, ðĸ¥, ðŁıĩ, áĮĶ, ðŁİij], [Éĺ, áĮ½, ðĿĵ°, ðĿĵ¾, ðŁıĩ, áĴĮ, ðŁİij], [ìŁĻ, Éĺ, ðĿĵ°, ðĿĸĸ, Ȳ, áĶĬ, ðŁİij], [ìĦIJ, ìł°, ðĿĵ°, ðĿĻ°, ÔĪ, á¨ģ, ðŁİij], [ë¼Ŀ, ìł°, ðĿĻľ, ðĿĺļ, Ýĵ, ḻ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁħ¢, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁıĩ, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ï®ı, ÔĪ, ðĿĵ¬, Ý¥, âĺµ, ðŁİij]]."
]
}
| 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 [[áĪ¾, âĻĻ, ðĿĵ°, ðĸ¥, ðŁıĩ, áĮĶ, ðŁİij], [Éĺ, áĮ½, ðĿĵ°, ðĿĵ¾, ðŁıĩ, áĴĮ, ðŁİij], [ìŁĻ, Éĺ, ðĿĵ°, ðĿĸĸ, Ȳ, áĶĬ, ðŁİij], [ìĦIJ, ìł°, ðĿĵ°, ðĿĻ°, ÔĪ, á¨ģ, ðŁİij], [ë¼Ŀ, ìł°, ðĿĻľ, ðĿĺļ, Ýĵ, ḻ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁħ¢, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁıĩ, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ï®ı, ÔĪ, ðĿĵ¬, Ý¥, âĺµ, ðŁİij]]."
]
}
|
[[131,44],[93,87],[97,157],[170,57],[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_69><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_101><DEPTH_32><DEPTH_103><DEPTH_125><DEPTH_84><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_116><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_69><DEPTH_125><DEPTH_8><DEPTH_55><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_30><DEPTH_8><DEPTH_8><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_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 [[132,42],[100,84],[97,97],[174,59],[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 [[Éĺ, áĮ½, ðĿĵ°, ðĿĵ¾, ðŁıĩ, áĴĮ, ðŁİij], [ìŁĻ, Éĺ, ðĿĵ°, ðĿĸĸ, Ȳ, áĶĬ, ðŁİij], [ìĦIJ, ìł°, ðĿĵ°, ðĿĻ°, ÔĪ, á¨ģ, ðŁİij], [ë¼Ŀ, ìł°, ðĿĻľ, ðĿĺļ, Ýĵ, ḻ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁħ¢, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁıĩ, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ï®ı, ÔĪ, ðĿĵ¬, Ý¥, âĺµ, ðŁİij], [ë¼Ŀ, ðŁħ±, ॱ, ðIJŃĬ, à¤ij, â²¢, ðŁİij]]."
]
}
| 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 [[Éĺ, áĮ½, ðĿĵ°, ðĿĵ¾, ðŁıĩ, áĴĮ, ðŁİij], [ìŁĻ, Éĺ, ðĿĵ°, ðĿĸĸ, Ȳ, áĶĬ, ðŁİij], [ìĦIJ, ìł°, ðĿĵ°, ðĿĻ°, ÔĪ, á¨ģ, ðŁİij], [ë¼Ŀ, ìł°, ðĿĻľ, ðĿĺļ, Ýĵ, ḻ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁħ¢, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁıĩ, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ï®ı, ÔĪ, ðĿĵ¬, Ý¥, âĺµ, ðŁİij], [ë¼Ŀ, ðŁħ±, ॱ, ðIJŃĬ, à¤ij, â²¢, ðŁİij]]."
]
}
|
[[132,42],[100,84],[97,97],[174,59],[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_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_116><DEPTH_25><DEPTH_116><DEPTH_75><DEPTH_32><DEPTH_103><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_9><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_69><DEPTH_125><DEPTH_8><DEPTH_55><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_75><DEPTH_32><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_30><DEPTH_8><DEPTH_8><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_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 [[135,43],[100,84],[97,97],[174,59],[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 [[ìŁĻ, Éĺ, ðĿĵ°, ðĿĸĸ, Ȳ, áĶĬ, ðŁİij], [ìĦIJ, ìł°, ðĿĵ°, ðĿĻ°, ÔĪ, á¨ģ, ðŁİij], [ë¼Ŀ, ìł°, ðĿĻľ, ðĿĺļ, Ýĵ, ḻ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁħ¢, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁıĩ, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ï®ı, ÔĪ, ðĿĵ¬, Ý¥, âĺµ, ðŁİij], [ë¼Ŀ, ðŁħ±, ॱ, ðIJŃĬ, à¤ij, â²¢, ðŁİij], [ìĦIJ, Éĺ, áĢı, íĭį, à¬ī, 䶵, ðŁİij]]."
]
}
| 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 [[ìŁĻ, Éĺ, ðĿĵ°, ðĿĸĸ, Ȳ, áĶĬ, ðŁİij], [ìĦIJ, ìł°, ðĿĵ°, ðĿĻ°, ÔĪ, á¨ģ, ðŁİij], [ë¼Ŀ, ìł°, ðĿĻľ, ðĿĺļ, Ýĵ, ḻ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁħ¢, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁıĩ, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ï®ı, ÔĪ, ðĿĵ¬, Ý¥, âĺµ, ðŁİij], [ë¼Ŀ, ðŁħ±, ॱ, ðIJŃĬ, à¤ij, â²¢, ðŁİij], [ìĦIJ, Éĺ, áĢı, íĭį, à¬ī, 䶵, ðŁİij]]."
]
}
|
[[135,43],[100,84],[97,97],[174,59],[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_69><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_116><DEPTH_25><DEPTH_116><DEPTH_75><DEPTH_32><DEPTH_84><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_28><DEPTH_25><DEPTH_69><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_69><DEPTH_125><DEPTH_8><DEPTH_55><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_75><DEPTH_32><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_26><DEPTH_30><DEPTH_8><DEPTH_8><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_26><DEPTH_26><DEPTH_75><DEPTH_26><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 [[137,40],[78,137],[104,142],[174,59],[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 [[ìĦIJ, ìł°, ðĿĵ°, ðĿĻ°, ÔĪ, á¨ģ, ðŁİij], [ë¼Ŀ, ìł°, ðĿĻľ, ðĿĺļ, Ýĵ, ḻ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁħ¢, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁıĩ, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ï®ı, ÔĪ, ðĿĵ¬, Ý¥, âĺµ, ðŁİij], [ë¼Ŀ, ðŁħ±, ॱ, ðIJŃĬ, à¤ij, â²¢, ðŁİij], [ìĦIJ, Éĺ, áĢı, íĭį, à¬ī, 䶵, ðŁİij], [ìī¡, Õĥ, áĮĦ, âļ£, à°µ, ê³Ĥ, ðŁİij]]."
]
}
| 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 [[ìĦIJ, ìł°, ðĿĵ°, ðĿĻ°, ÔĪ, á¨ģ, ðŁİij], [ë¼Ŀ, ìł°, ðĿĻľ, ðĿĺļ, Ýĵ, ḻ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁħ¢, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁıĩ, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ï®ı, ÔĪ, ðĿĵ¬, Ý¥, âĺµ, ðŁİij], [ë¼Ŀ, ðŁħ±, ॱ, ðIJŃĬ, à¤ij, â²¢, ðŁİij], [ìĦIJ, Éĺ, áĢı, íĭį, à¬ī, 䶵, ðŁİij], [ìī¡, Õĥ, áĮĦ, âļ£, à°µ, ê³Ĥ, ðŁİij]]."
]
}
|
[[137,40],[78,137],[104,142],[174,59],[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_69><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_28><DEPTH_25><DEPTH_116><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_69><DEPTH_101><DEPTH_32><DEPTH_84><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_69><DEPTH_125><DEPTH_8><DEPTH_55><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_75><DEPTH_32><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_26><DEPTH_30><DEPTH_8><DEPTH_8><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_26><DEPTH_26><DEPTH_75><DEPTH_26><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 [[140,42],[89,125],[104,142],[174,59],[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 [[ë¼Ŀ, ìł°, ðĿĻľ, ðĿĺļ, Ýĵ, ḻ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁħ¢, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁıĩ, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ï®ı, ÔĪ, ðĿĵ¬, Ý¥, âĺµ, ðŁİij], [ë¼Ŀ, ðŁħ±, ॱ, ðIJŃĬ, à¤ij, â²¢, ðŁİij], [ìĦIJ, Éĺ, áĢı, íĭį, à¬ī, 䶵, ðŁİij], [ìī¡, Õĥ, áĮĦ, âļ£, à°µ, ê³Ĥ, ðŁİij], [ìŤ, à´´, áĮĶ, âĺµ, à°µ, ì¼ĩ, ðŁİij]]."
]
}
| 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 [[ë¼Ŀ, ìł°, ðĿĻľ, ðĿĺļ, Ýĵ, ḻ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁħ¢, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁıĩ, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ï®ı, ÔĪ, ðĿĵ¬, Ý¥, âĺµ, ðŁİij], [ë¼Ŀ, ðŁħ±, ॱ, ðIJŃĬ, à¤ij, â²¢, ðŁİij], [ìĦIJ, Éĺ, áĢı, íĭį, à¬ī, 䶵, ðŁİij], [ìī¡, Õĥ, áĮĦ, âļ£, à°µ, ê³Ĥ, ðŁİij], [ìŤ, à´´, áĮĶ, âĺµ, à°µ, ì¼ĩ, ðŁİij]]."
]
}
|
[[140,42],[89,125],[104,142],[174,59],[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_69><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_9><DEPTH_28><DEPTH_25><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_125><DEPTH_30><DEPTH_103><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_28><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_75><DEPTH_32><DEPTH_25><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_30><DEPTH_8><DEPTH_8><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_26><DEPTH_26><DEPTH_75><DEPTH_26><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 [[132,40],[84,125],[115,74],[170,57],[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 [[ë¼Ŀ, ì¥ī, ðŁħ¢, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁıĩ, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ï®ı, ÔĪ, ðĿĵ¬, Ý¥, âĺµ, ðŁİij], [ë¼Ŀ, ðŁħ±, ॱ, ðIJŃĬ, à¤ij, â²¢, ðŁİij], [ìĦIJ, Éĺ, áĢı, íĭį, à¬ī, 䶵, ðŁİij], [ìī¡, Õĥ, áĮĦ, âļ£, à°µ, ê³Ĥ, ðŁİij], [ìŤ, à´´, áĮĶ, âĺµ, à°µ, ì¼ĩ, ðŁİij], [ìĿ©, áĪĬ, áĮĶ, âĺµ, à°µ, íĵ®, ðŁİij]]."
]
}
| 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 [[ë¼Ŀ, ì¥ī, ðŁħ¢, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ì¥ī, ðŁıĩ, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ï®ı, ÔĪ, ðĿĵ¬, Ý¥, âĺµ, ðŁİij], [ë¼Ŀ, ðŁħ±, ॱ, ðIJŃĬ, à¤ij, â²¢, ðŁİij], [ìĦIJ, Éĺ, áĢı, íĭį, à¬ī, 䶵, ðŁİij], [ìī¡, Õĥ, áĮĦ, âļ£, à°µ, ê³Ĥ, ðŁİij], [ìŤ, à´´, áĮĶ, âĺµ, à°µ, ì¼ĩ, ðŁİij], [ìĿ©, áĪĬ, áĮĶ, âĺµ, à°µ, íĵ®, ðŁİij]]."
]
}
|
[[132,40],[84,125],[115,74],[170,57],[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_69><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_9><DEPTH_28><DEPTH_28><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_55><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_75><DEPTH_32><DEPTH_25><DEPTH_9><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_30><DEPTH_8><DEPTH_8><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_26><DEPTH_26><DEPTH_75><DEPTH_26><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 [[131,40],[84,125],[115,74],[170,57],[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 [[ë¼Ŀ, ì¥ī, ðŁıĩ, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ï®ı, ÔĪ, ðĿĵ¬, Ý¥, âĺµ, ðŁİij], [ë¼Ŀ, ðŁħ±, ॱ, ðIJŃĬ, à¤ij, â²¢, ðŁİij], [ìĦIJ, Éĺ, áĢı, íĭį, à¬ī, 䶵, ðŁİij], [ìī¡, Õĥ, áĮĦ, âļ£, à°µ, ê³Ĥ, ðŁİij], [ìŤ, à´´, áĮĶ, âĺµ, à°µ, ì¼ĩ, ðŁİij], [ìĿ©, áĪĬ, áĮĶ, âĺµ, à°µ, íĵ®, ðŁİij], [ìł°, áĪ¾, áĮĶ, âĺµ, à°µ, íĵ», ðŁİij]]."
]
}
| 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 [[ë¼Ŀ, ì¥ī, ðŁıĩ, ðĿķį, à¤ij, âĶŀ, ðŁİij], [ë¼Ŀ, ï®ı, ÔĪ, ðĿĵ¬, Ý¥, âĺµ, ðŁİij], [ë¼Ŀ, ðŁħ±, ॱ, ðIJŃĬ, à¤ij, â²¢, ðŁİij], [ìĦIJ, Éĺ, áĢı, íĭį, à¬ī, 䶵, ðŁİij], [ìī¡, Õĥ, áĮĦ, âļ£, à°µ, ê³Ĥ, ðŁİij], [ìŤ, à´´, áĮĶ, âĺµ, à°µ, ì¼ĩ, ðŁİij], [ìĿ©, áĪĬ, áĮĶ, âĺµ, à°µ, íĵ®, ðŁİij], [ìł°, áĪ¾, áĮĶ, âĺµ, à°µ, íĵ», ðŁİij]]."
]
}
|
[[131,40],[84,125],[115,74],[170,57],[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_56><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_9><DEPTH_28><DEPTH_28><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_9><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_74><DEPTH_28><DEPTH_116><DEPTH_28><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_9><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_30><DEPTH_125><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><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 [[124,44],[78,135],[97,87],[170,57],[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 [[ë¼Ŀ, ï®ı, ÔĪ, ðĿĵ¬, Ý¥, âĺµ, ðŁİij], [ë¼Ŀ, ðŁħ±, ॱ, ðIJŃĬ, à¤ij, â²¢, ðŁİij], [ìĦIJ, Éĺ, áĢı, íĭį, à¬ī, 䶵, ðŁİij], [ìī¡, Õĥ, áĮĦ, âļ£, à°µ, ê³Ĥ, ðŁİij], [ìŤ, à´´, áĮĶ, âĺµ, à°µ, ì¼ĩ, ðŁİij], [ìĿ©, áĪĬ, áĮĶ, âĺµ, à°µ, íĵ®, ðŁİij], [ìł°, áĪ¾, áĮĶ, âĺµ, à°µ, íĵ», ðŁİij], [íĬŃ, áĮĥ, áĮĶ, âĺµ, à°µ, 辰, ðŁİij]]."
]
}
| 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 [[ë¼Ŀ, ï®ı, ÔĪ, ðĿĵ¬, Ý¥, âĺµ, ðŁİij], [ë¼Ŀ, ðŁħ±, ॱ, ðIJŃĬ, à¤ij, â²¢, ðŁİij], [ìĦIJ, Éĺ, áĢı, íĭį, à¬ī, 䶵, ðŁİij], [ìī¡, Õĥ, áĮĦ, âļ£, à°µ, ê³Ĥ, ðŁİij], [ìŤ, à´´, áĮĶ, âĺµ, à°µ, ì¼ĩ, ðŁİij], [ìĿ©, áĪĬ, áĮĶ, âĺµ, à°µ, íĵ®, ðŁİij], [ìł°, áĪ¾, áĮĶ, âĺµ, à°µ, íĵ», ðŁİij], [íĬŃ, áĮĥ, áĮĶ, âĺµ, à°µ, 辰, ðŁİij]]."
]
}
|
[[124,44],[78,135],[97,87],[170,57],[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_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_28><DEPTH_28><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_25><DEPTH_84><DEPTH_103><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_9><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_56><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_75><DEPTH_32><DEPTH_55><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_30><DEPTH_125><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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 [[127,43],[78,146],[97,87],[170,57],[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 [[ë¼Ŀ, ðŁħ±, ॱ, ðIJŃĬ, à¤ij, â²¢, ðŁİij], [ìĦIJ, Éĺ, áĢı, íĭį, à¬ī, 䶵, ðŁİij], [ìī¡, Õĥ, áĮĦ, âļ£, à°µ, ê³Ĥ, ðŁİij], [ìŤ, à´´, áĮĶ, âĺµ, à°µ, ì¼ĩ, ðŁİij], [ìĿ©, áĪĬ, áĮĶ, âĺµ, à°µ, íĵ®, ðŁİij], [ìł°, áĪ¾, áĮĶ, âĺµ, à°µ, íĵ», ðŁİij], [íĬŃ, áĮĥ, áĮĶ, âĺµ, à°µ, 辰, ðŁİij], [ðŁķĭ, á©ĭ, áĮĶ, âĺµ, à°µ, ðĸ¥, ðŁİij]]."
]
}
| 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 [[ë¼Ŀ, ðŁħ±, ॱ, ðIJŃĬ, à¤ij, â²¢, ðŁİij], [ìĦIJ, Éĺ, áĢı, íĭį, à¬ī, 䶵, ðŁİij], [ìī¡, Õĥ, áĮĦ, âļ£, à°µ, ê³Ĥ, ðŁİij], [ìŤ, à´´, áĮĶ, âĺµ, à°µ, ì¼ĩ, ðŁİij], [ìĿ©, áĪĬ, áĮĶ, âĺµ, à°µ, íĵ®, ðŁİij], [ìł°, áĪ¾, áĮĶ, âĺµ, à°µ, íĵ», ðŁİij], [íĬŃ, áĮĥ, áĮĶ, âĺµ, à°µ, 辰, ðŁİij], [ðŁķĭ, á©ĭ, áĮĶ, âĺµ, à°µ, ðĸ¥, ðŁİij]]."
]
}
|
[[127,43],[78,146],[97,87],[170,57],[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_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_9><DEPTH_28><DEPTH_28><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_25><DEPTH_84><DEPTH_84><DEPTH_28><DEPTH_55><DEPTH_116><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_75><DEPTH_8><DEPTH_74><DEPTH_9><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_30><DEPTH_125><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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 [[127,77],[71,145],[104,84],[174,56],[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 [[ìĦIJ, Éĺ, áĢı, íĭį, à¬ī, 䶵, ðŁİij], [ìī¡, Õĥ, áĮĦ, âļ£, à°µ, ê³Ĥ, ðŁİij], [ìŤ, à´´, áĮĶ, âĺµ, à°µ, ì¼ĩ, ðŁİij], [ìĿ©, áĪĬ, áĮĶ, âĺµ, à°µ, íĵ®, ðŁİij], [ìł°, áĪ¾, áĮĶ, âĺµ, à°µ, íĵ», ðŁİij], [íĬŃ, áĮĥ, áĮĶ, âĺµ, à°µ, 辰, ðŁİij], [ðŁķĭ, á©ĭ, áĮĶ, âĺµ, à°µ, ðĸ¥, ðŁİij], [áĪĬ, â¡¢, á¨ģ, âĺµ, à°µ, ðĿķį, ðŁİij]]."
]
}
| 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 [[ìĦIJ, Éĺ, áĢı, íĭį, à¬ī, 䶵, ðŁİij], [ìī¡, Õĥ, áĮĦ, âļ£, à°µ, ê³Ĥ, ðŁİij], [ìŤ, à´´, áĮĶ, âĺµ, à°µ, ì¼ĩ, ðŁİij], [ìĿ©, áĪĬ, áĮĶ, âĺµ, à°µ, íĵ®, ðŁİij], [ìł°, áĪ¾, áĮĶ, âĺµ, à°µ, íĵ», ðŁİij], [íĬŃ, áĮĥ, áĮĶ, âĺµ, à°µ, 辰, ðŁİij], [ðŁķĭ, á©ĭ, áĮĶ, âĺµ, à°µ, ðĸ¥, ðŁİij], [áĪĬ, â¡¢, á¨ģ, âĺµ, à°µ, ðĿķį, ðŁİij]]."
]
}
|
[[127,77],[71,145],[104,84],[174,56],[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_69><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_28><DEPTH_28><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_116><DEPTH_84><DEPTH_103><DEPTH_55><DEPTH_28><DEPTH_9><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_75><DEPTH_8><DEPTH_74><DEPTH_9><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_8><DEPTH_26><DEPTH_30><DEPTH_125><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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 [[123,81],[71,145],[104,84],[174,56],[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 [[ìī¡, Õĥ, áĮĦ, âļ£, à°µ, ê³Ĥ, ðŁİij], [ìŤ, à´´, áĮĶ, âĺµ, à°µ, ì¼ĩ, ðŁİij], [ìĿ©, áĪĬ, áĮĶ, âĺµ, à°µ, íĵ®, ðŁİij], [ìł°, áĪ¾, áĮĶ, âĺµ, à°µ, íĵ», ðŁİij], [íĬŃ, áĮĥ, áĮĶ, âĺµ, à°µ, 辰, ðŁİij], [ðŁķĭ, á©ĭ, áĮĶ, âĺµ, à°µ, ðĸ¥, ðŁİij], [áĪĬ, â¡¢, á¨ģ, âĺµ, à°µ, ðĿķį, ðŁİij], [ᨸ, ì»ģ, âĶŀ, áĮĶ, à°µ, ðĿĻ°, ðŁİij]]."
]
}
| 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 [[ìī¡, Õĥ, áĮĦ, âļ£, à°µ, ê³Ĥ, ðŁİij], [ìŤ, à´´, áĮĶ, âĺµ, à°µ, ì¼ĩ, ðŁİij], [ìĿ©, áĪĬ, áĮĶ, âĺµ, à°µ, íĵ®, ðŁİij], [ìł°, áĪ¾, áĮĶ, âĺµ, à°µ, íĵ», ðŁİij], [íĬŃ, áĮĥ, áĮĶ, âĺµ, à°µ, 辰, ðŁİij], [ðŁķĭ, á©ĭ, áĮĶ, âĺµ, à°µ, ðĸ¥, ðŁİij], [áĪĬ, â¡¢, á¨ģ, âĺµ, à°µ, ðĿķį, ðŁİij], [ᨸ, ì»ģ, âĶŀ, áĮĶ, à°µ, ðĿĻ°, ðŁİij]]."
]
}
|
[[123,81],[71,145],[104,84],[174,56],[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_125><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_25><DEPTH_75><DEPTH_69><DEPTH_101><DEPTH_116><DEPTH_84><DEPTH_103><DEPTH_55><DEPTH_28><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_75><DEPTH_8><DEPTH_74><DEPTH_9><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_8><DEPTH_26><DEPTH_30><DEPTH_125><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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 [[124,55],[73,148],[119,84],[174,56],[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 [[ìŤ, à´´, áĮĶ, âĺµ, à°µ, ì¼ĩ, ðŁİij], [ìĿ©, áĪĬ, áĮĶ, âĺµ, à°µ, íĵ®, ðŁİij], [ìł°, áĪ¾, áĮĶ, âĺµ, à°µ, íĵ», ðŁİij], [íĬŃ, áĮĥ, áĮĶ, âĺµ, à°µ, 辰, ðŁİij], [ðŁķĭ, á©ĭ, áĮĶ, âĺµ, à°µ, ðĸ¥, ðŁİij], [áĪĬ, â¡¢, á¨ģ, âĺµ, à°µ, ðĿķį, ðŁİij], [ᨸ, ì»ģ, âĶŀ, áĮĶ, à°µ, ðĿĻ°, ðŁİij], [â¡¢, ï¤Ĩ, á¸ĥ, áģ¼, à°µ, ðŁħħ, ðŁİij]]."
]
}
| 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 [[ìŤ, à´´, áĮĶ, âĺµ, à°µ, ì¼ĩ, ðŁİij], [ìĿ©, áĪĬ, áĮĶ, âĺµ, à°µ, íĵ®, ðŁİij], [ìł°, áĪ¾, áĮĶ, âĺµ, à°µ, íĵ», ðŁİij], [íĬŃ, áĮĥ, áĮĶ, âĺµ, à°µ, 辰, ðŁİij], [ðŁķĭ, á©ĭ, áĮĶ, âĺµ, à°µ, ðĸ¥, ðŁİij], [áĪĬ, â¡¢, á¨ģ, âĺµ, à°µ, ðĿķį, ðŁİij], [ᨸ, ì»ģ, âĶŀ, áĮĶ, à°µ, ðĿĻ°, ðŁİij], [â¡¢, ï¤Ĩ, á¸ĥ, áģ¼, à°µ, ðŁħħ, ðŁİij]]."
]
}
|
[[124,55],[73,148],[119,84],[174,56],[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_125><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_75><DEPTH_69><DEPTH_101><DEPTH_116><DEPTH_30><DEPTH_103><DEPTH_55><DEPTH_28><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_25><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_75><DEPTH_9><DEPTH_74><DEPTH_9><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_30><DEPTH_125><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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 [[123,77],[76,155],[119,84],[174,56],[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 [[ìĿ©, áĪĬ, áĮĶ, âĺµ, à°µ, íĵ®, ðŁİij], [ìł°, áĪ¾, áĮĶ, âĺµ, à°µ, íĵ», ðŁİij], [íĬŃ, áĮĥ, áĮĶ, âĺµ, à°µ, 辰, ðŁİij], [ðŁķĭ, á©ĭ, áĮĶ, âĺµ, à°µ, ðĸ¥, ðŁİij], [áĪĬ, â¡¢, á¨ģ, âĺµ, à°µ, ðĿķį, ðŁİij], [ᨸ, ì»ģ, âĶŀ, áĮĶ, à°µ, ðĿĻ°, ðŁİij], [â¡¢, ï¤Ĩ, á¸ĥ, áģ¼, à°µ, ðŁħħ, ðŁİij], [ì»ģ, ðĿļģ, 䶵, Ôij, à°µ, âĶ½, ðŁİij]]."
]
}
| 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 [[ìĿ©, áĪĬ, áĮĶ, âĺµ, à°µ, íĵ®, ðŁİij], [ìł°, áĪ¾, áĮĶ, âĺµ, à°µ, íĵ», ðŁİij], [íĬŃ, áĮĥ, áĮĶ, âĺµ, à°µ, 辰, ðŁİij], [ðŁķĭ, á©ĭ, áĮĶ, âĺµ, à°µ, ðĸ¥, ðŁİij], [áĪĬ, â¡¢, á¨ģ, âĺµ, à°µ, ðĿķį, ðŁİij], [ᨸ, ì»ģ, âĶŀ, áĮĶ, à°µ, ðĿĻ°, ðŁİij], [â¡¢, ï¤Ĩ, á¸ĥ, áģ¼, à°µ, ðŁħħ, ðŁİij], [ì»ģ, ðĿļģ, 䶵, Ôij, à°µ, âĶ½, ðŁİij]]."
]
}
|
[[123,77],[76,155],[119,84],[174,56],[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_9><DEPTH_30><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_69><DEPTH_75><DEPTH_69><DEPTH_101><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_25><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_9><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_101><DEPTH_25><DEPTH_55><DEPTH_25><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_30><DEPTH_125><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_8><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_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 [[120,54],[78,152],[93,88],[170,56],[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 [[ìł°, áĪ¾, áĮĶ, âĺµ, à°µ, íĵ», ðŁİij], [íĬŃ, áĮĥ, áĮĶ, âĺµ, à°µ, 辰, ðŁİij], [ðŁķĭ, á©ĭ, áĮĶ, âĺµ, à°µ, ðĸ¥, ðŁİij], [áĪĬ, â¡¢, á¨ģ, âĺµ, à°µ, ðĿķį, ðŁİij], [ᨸ, ì»ģ, âĶŀ, áĮĶ, à°µ, ðĿĻ°, ðŁİij], [â¡¢, ï¤Ĩ, á¸ĥ, áģ¼, à°µ, ðŁħħ, ðŁİij], [ì»ģ, ðĿļģ, 䶵, Ôij, à°µ, âĶ½, ðŁİij], [ï¤ħ, ÔĪ, ê³Ĥ, ðŁħ¢, à°µ, ⣰, ðŁİij]]."
]
}
| 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 [[ìł°, áĪ¾, áĮĶ, âĺµ, à°µ, íĵ», ðŁİij], [íĬŃ, áĮĥ, áĮĶ, âĺµ, à°µ, 辰, ðŁİij], [ðŁķĭ, á©ĭ, áĮĶ, âĺµ, à°µ, ðĸ¥, ðŁİij], [áĪĬ, â¡¢, á¨ģ, âĺµ, à°µ, ðĿķį, ðŁİij], [ᨸ, ì»ģ, âĶŀ, áĮĶ, à°µ, ðĿĻ°, ðŁİij], [â¡¢, ï¤Ĩ, á¸ĥ, áģ¼, à°µ, ðŁħħ, ðŁİij], [ì»ģ, ðĿļģ, 䶵, Ôij, à°µ, âĶ½, ðŁİij], [ï¤ħ, ÔĪ, ê³Ĥ, ðŁħ¢, à°µ, ⣰, ðŁİij]]."
]
}
|
[[120,54],[78,152],[93,88],[170,56],[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_9><DEPTH_30><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_25><DEPTH_8><DEPTH_75><DEPTH_9><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_25><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_101><DEPTH_25><DEPTH_28><DEPTH_25><DEPTH_30><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_30><DEPTH_125><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><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 [[115,52],[78,152],[93,88],[170,56],[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 [[íĬŃ, áĮĥ, áĮĶ, âĺµ, à°µ, 辰, ðŁİij], [ðŁķĭ, á©ĭ, áĮĶ, âĺµ, à°µ, ðĸ¥, ðŁİij], [áĪĬ, â¡¢, á¨ģ, âĺµ, à°µ, ðĿķį, ðŁİij], [ᨸ, ì»ģ, âĶŀ, áĮĶ, à°µ, ðĿĻ°, ðŁİij], [â¡¢, ï¤Ĩ, á¸ĥ, áģ¼, à°µ, ðŁħħ, ðŁİij], [ì»ģ, ðĿļģ, 䶵, Ôij, à°µ, âĶ½, ðŁİij], [ï¤ħ, ÔĪ, ê³Ĥ, ðŁħ¢, à°µ, ⣰, ðŁİij], [里, Ôij, 롼, ðŁħ¢, à²Ł, ãĦĵ, ðŁİij]]."
]
}
| 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 [[íĬŃ, áĮĥ, áĮĶ, âĺµ, à°µ, 辰, ðŁİij], [ðŁķĭ, á©ĭ, áĮĶ, âĺµ, à°µ, ðĸ¥, ðŁİij], [áĪĬ, â¡¢, á¨ģ, âĺµ, à°µ, ðĿķį, ðŁİij], [ᨸ, ì»ģ, âĶŀ, áĮĶ, à°µ, ðĿĻ°, ðŁİij], [â¡¢, ï¤Ĩ, á¸ĥ, áģ¼, à°µ, ðŁħħ, ðŁİij], [ì»ģ, ðĿļģ, 䶵, Ôij, à°µ, âĶ½, ðŁİij], [ï¤ħ, ÔĪ, ê³Ĥ, ðŁħ¢, à°µ, ⣰, ðŁİij], [里, Ôij, 롼, ðŁħ¢, à²Ł, ãĦĵ, ðŁİij]]."
]
}
|
[[115,52],[78,152],[93,88],[170,56],[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_9><DEPTH_84><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_116><DEPTH_32><DEPTH_101><DEPTH_9><DEPTH_56><DEPTH_9><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_25><DEPTH_116><DEPTH_116><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_30><DEPTH_125><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><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 [[79,84],[79,153],[120,84],[170,56],[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 [[ðŁķĭ, á©ĭ, áĮĶ, âĺµ, à°µ, ðĸ¥, ðŁİij], [áĪĬ, â¡¢, á¨ģ, âĺµ, à°µ, ðĿķį, ðŁİij], [ᨸ, ì»ģ, âĶŀ, áĮĶ, à°µ, ðĿĻ°, ðŁİij], [â¡¢, ï¤Ĩ, á¸ĥ, áģ¼, à°µ, ðŁħħ, ðŁİij], [ì»ģ, ðĿļģ, 䶵, Ôij, à°µ, âĶ½, ðŁİij], [ï¤ħ, ÔĪ, ê³Ĥ, ðŁħ¢, à°µ, ⣰, ðŁİij], [里, Ôij, 롼, ðŁħ¢, à²Ł, ãĦĵ, ðŁİij], [ðĿļģ, Ôij, íĭį, ðŁħ¢, áĭ©, ãī«, ðŁİij]]."
]
}
| 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 [[ðŁķĭ, á©ĭ, áĮĶ, âĺµ, à°µ, ðĸ¥, ðŁİij], [áĪĬ, â¡¢, á¨ģ, âĺµ, à°µ, ðĿķį, ðŁİij], [ᨸ, ì»ģ, âĶŀ, áĮĶ, à°µ, ðĿĻ°, ðŁİij], [â¡¢, ï¤Ĩ, á¸ĥ, áģ¼, à°µ, ðŁħħ, ðŁİij], [ì»ģ, ðĿļģ, 䶵, Ôij, à°µ, âĶ½, ðŁİij], [ï¤ħ, ÔĪ, ê³Ĥ, ðŁħ¢, à°µ, ⣰, ðŁİij], [里, Ôij, 롼, ðŁħ¢, à²Ł, ãĦĵ, ðŁİij], [ðĿļģ, Ôij, íĭį, ðŁħ¢, áĭ©, ãī«, ðŁİij]]."
]
}
|
[[79,84],[79,153],[120,84],[170,56],[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_9><DEPTH_84><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_116><DEPTH_56><DEPTH_56><DEPTH_116><DEPTH_101><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_28><DEPTH_9><DEPTH_9><DEPTH_30><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_30><DEPTH_125><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><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 [[108,52],[78,161],[120,84],[170,56],[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 [[áĪĬ, â¡¢, á¨ģ, âĺµ, à°µ, ðĿķį, ðŁİij], [ᨸ, ì»ģ, âĶŀ, áĮĶ, à°µ, ðĿĻ°, ðŁİij], [â¡¢, ï¤Ĩ, á¸ĥ, áģ¼, à°µ, ðŁħħ, ðŁİij], [ì»ģ, ðĿļģ, 䶵, Ôij, à°µ, âĶ½, ðŁİij], [ï¤ħ, ÔĪ, ê³Ĥ, ðŁħ¢, à°µ, ⣰, ðŁİij], [里, Ôij, 롼, ðŁħ¢, à²Ł, ãĦĵ, ðŁİij], [ðĿļģ, Ôij, íĭį, ðŁħ¢, áĭ©, ãī«, ðŁİij], [Ôij, ÔĪ, íĵ¶, ðĿĻľ, áIJ§, ï±Ĭ, ðŁİij]]."
]
}
| 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 [[áĪĬ, â¡¢, á¨ģ, âĺµ, à°µ, ðĿķį, ðŁİij], [ᨸ, ì»ģ, âĶŀ, áĮĶ, à°µ, ðĿĻ°, ðŁİij], [â¡¢, ï¤Ĩ, á¸ĥ, áģ¼, à°µ, ðŁħħ, ðŁİij], [ì»ģ, ðĿļģ, 䶵, Ôij, à°µ, âĶ½, ðŁİij], [ï¤ħ, ÔĪ, ê³Ĥ, ðŁħ¢, à°µ, ⣰, ðŁİij], [里, Ôij, 롼, ðŁħ¢, à²Ł, ãĦĵ, ðŁİij], [ðĿļģ, Ôij, íĭį, ðŁħ¢, áĭ©, ãī«, ðŁİij], [Ôij, ÔĪ, íĵ¶, ðĿĻľ, áIJ§, ï±Ĭ, ðŁİij]]."
]
}
|
[[108,52],[78,161],[120,84],[170,56],[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_101><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_28><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_101><DEPTH_56><DEPTH_116><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_32><DEPTH_28><DEPTH_116><DEPTH_9><DEPTH_30><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_30><DEPTH_125><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><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 [[120,87],[79,157],[128,100],[170,59],[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 [[ᨸ, ì»ģ, âĶŀ, áĮĶ, à°µ, ðĿĻ°, ðŁİij], [â¡¢, ï¤Ĩ, á¸ĥ, áģ¼, à°µ, ðŁħħ, ðŁİij], [ì»ģ, ðĿļģ, 䶵, Ôij, à°µ, âĶ½, ðŁİij], [ï¤ħ, ÔĪ, ê³Ĥ, ðŁħ¢, à°µ, ⣰, ðŁİij], [里, Ôij, 롼, ðŁħ¢, à²Ł, ãĦĵ, ðŁİij], [ðĿļģ, Ôij, íĭį, ðŁħ¢, áĭ©, ãī«, ðŁİij], [Ôij, ÔĪ, íĵ¶, ðĿĻľ, áIJ§, ï±Ĭ, ðŁİij], [Ôij, Ȳ, 臘, ðĿļģ, áĮĶ, ï±Ĭ, ðŁİij]]."
]
}
| 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 [[ᨸ, ì»ģ, âĶŀ, áĮĶ, à°µ, ðĿĻ°, ðŁİij], [â¡¢, ï¤Ĩ, á¸ĥ, áģ¼, à°µ, ðŁħħ, ðŁİij], [ì»ģ, ðĿļģ, 䶵, Ôij, à°µ, âĶ½, ðŁİij], [ï¤ħ, ÔĪ, ê³Ĥ, ðŁħ¢, à°µ, ⣰, ðŁİij], [里, Ôij, 롼, ðŁħ¢, à²Ł, ãĦĵ, ðŁİij], [ðĿļģ, Ôij, íĭį, ðŁħ¢, áĭ©, ãī«, ðŁİij], [Ôij, ÔĪ, íĵ¶, ðĿĻľ, áIJ§, ï±Ĭ, ðŁİij], [Ôij, Ȳ, 臘, ðĿļģ, áĮĶ, ï±Ĭ, ðŁİij]]."
]
}
|
[[120,87],[79,157],[128,100],[170,59],[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_9><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_25><DEPTH_28><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_101><DEPTH_56><DEPTH_116><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_32><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_30><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_69><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_30><DEPTH_125><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><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 [[119,55],[79,157],[128,100],[170,59],[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 [[â¡¢, ï¤Ĩ, á¸ĥ, áģ¼, à°µ, ðŁħħ, ðŁİij], [ì»ģ, ðĿļģ, 䶵, Ôij, à°µ, âĶ½, ðŁİij], [ï¤ħ, ÔĪ, ê³Ĥ, ðŁħ¢, à°µ, ⣰, ðŁİij], [里, Ôij, 롼, ðŁħ¢, à²Ł, ãĦĵ, ðŁİij], [ðĿļģ, Ôij, íĭį, ðŁħ¢, áĭ©, ãī«, ðŁİij], [Ôij, ÔĪ, íĵ¶, ðĿĻľ, áIJ§, ï±Ĭ, ðŁİij], [Ôij, Ȳ, 臘, ðĿļģ, áĮĶ, ï±Ĭ, ðŁİij], [Ýĵ, ðĿļģ, ï¥ł, ðŁıĩ, áIJ§, ãī«, ðŁİij]]."
]
}
| 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 [[â¡¢, ï¤Ĩ, á¸ĥ, áģ¼, à°µ, ðŁħħ, ðŁİij], [ì»ģ, ðĿļģ, 䶵, Ôij, à°µ, âĶ½, ðŁİij], [ï¤ħ, ÔĪ, ê³Ĥ, ðŁħ¢, à°µ, ⣰, ðŁİij], [里, Ôij, 롼, ðŁħ¢, à²Ł, ãĦĵ, ðŁİij], [ðĿļģ, Ôij, íĭį, ðŁħ¢, áĭ©, ãī«, ðŁİij], [Ôij, ÔĪ, íĵ¶, ðĿĻľ, áIJ§, ï±Ĭ, ðŁİij], [Ôij, Ȳ, 臘, ðĿļģ, áĮĶ, ï±Ĭ, ðŁİij], [Ýĵ, ðĿļģ, ï¥ł, ðŁıĩ, áIJ§, ãī«, ðŁİij]]."
]
}
|
[[119,55],[79,157],[128,100],[170,59],[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_9><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_25><DEPTH_28><DEPTH_25><DEPTH_28><DEPTH_69><DEPTH_75><DEPTH_101><DEPTH_116><DEPTH_101><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_9><DEPTH_125><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_9><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_125><DEPTH_9><DEPTH_116><DEPTH_9><DEPTH_30><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_9><DEPTH_116><DEPTH_9><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_125><DEPTH_125><DEPTH_125><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_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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[105,51],[79,161],[119,84],[170,59],[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 [[ì»ģ, ðĿļģ, 䶵, Ôij, à°µ, âĶ½, ðŁİij], [ï¤ħ, ÔĪ, ê³Ĥ, ðŁħ¢, à°µ, ⣰, ðŁİij], [里, Ôij, 롼, ðŁħ¢, à²Ł, ãĦĵ, ðŁİij], [ðĿļģ, Ôij, íĭį, ðŁħ¢, áĭ©, ãī«, ðŁİij], [Ôij, ÔĪ, íĵ¶, ðĿĻľ, áIJ§, ï±Ĭ, ðŁİij], [Ôij, Ȳ, 臘, ðĿļģ, áĮĶ, ï±Ĭ, ðŁİij], [Ýĵ, ðĿļģ, ï¥ł, ðŁıĩ, áIJ§, ãī«, ðŁİij], [Ý¥, ðĿĵŀ, ï¥ł, Ȳ, áĴĮ, ãħĸ, ðŁİij]]."
]
}
| 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 [[ì»ģ, ðĿļģ, 䶵, Ôij, à°µ, âĶ½, ðŁİij], [ï¤ħ, ÔĪ, ê³Ĥ, ðŁħ¢, à°µ, ⣰, ðŁİij], [里, Ôij, 롼, ðŁħ¢, à²Ł, ãĦĵ, ðŁİij], [ðĿļģ, Ôij, íĭį, ðŁħ¢, áĭ©, ãī«, ðŁİij], [Ôij, ÔĪ, íĵ¶, ðĿĻľ, áIJ§, ï±Ĭ, ðŁİij], [Ôij, Ȳ, 臘, ðĿļģ, áĮĶ, ï±Ĭ, ðŁİij], [Ýĵ, ðĿļģ, ï¥ł, ðŁıĩ, áIJ§, ãī«, ðŁİij], [Ý¥, ðĿĵŀ, ï¥ł, Ȳ, áĴĮ, ãħĸ, ðŁİij]]."
]
}
|
[[105,51],[79,161],[119,84],[170,59],[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_9><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_116><DEPTH_101><DEPTH_28><DEPTH_125><DEPTH_84><DEPTH_55><DEPTH_116><DEPTH_9><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_9><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_25><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_69><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_101><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_125><DEPTH_69><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_8><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 [[101,56],[79,157],[119,84],[170,59],[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¤ħ, ÔĪ, ê³Ĥ, ðŁħ¢, à°µ, ⣰, ðŁİij], [里, Ôij, 롼, ðŁħ¢, à²Ł, ãĦĵ, ðŁİij], [ðĿļģ, Ôij, íĭį, ðŁħ¢, áĭ©, ãī«, ðŁİij], [Ôij, ÔĪ, íĵ¶, ðĿĻľ, áIJ§, ï±Ĭ, ðŁİij], [Ôij, Ȳ, 臘, ðĿļģ, áĮĶ, ï±Ĭ, ðŁİij], [Ýĵ, ðĿļģ, ï¥ł, ðŁıĩ, áIJ§, ãī«, ðŁİij], [Ý¥, ðĿĵŀ, ï¥ł, Ȳ, áĴĮ, ãħĸ, ðŁİij], [ॱ, ðIJŃĵ, ðIJ±ħ, ÔĪ, áĶħ, ãĦĵ, ðŁİij]]."
]
}
| 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¤ħ, ÔĪ, ê³Ĥ, ðŁħ¢, à°µ, ⣰, ðŁİij], [里, Ôij, 롼, ðŁħ¢, à²Ł, ãĦĵ, ðŁİij], [ðĿļģ, Ôij, íĭį, ðŁħ¢, áĭ©, ãī«, ðŁİij], [Ôij, ÔĪ, íĵ¶, ðĿĻľ, áIJ§, ï±Ĭ, ðŁİij], [Ôij, Ȳ, 臘, ðĿļģ, áĮĶ, ï±Ĭ, ðŁİij], [Ýĵ, ðĿļģ, ï¥ł, ðŁıĩ, áIJ§, ãī«, ðŁİij], [Ý¥, ðĿĵŀ, ï¥ł, Ȳ, áĴĮ, ãħĸ, ðŁİij], [ॱ, ðIJŃĵ, ðIJ±ħ, ÔĪ, áĶħ, ãĦĵ, ðŁİij]]."
]
}
|
[[101,56],[79,157],[119,84],[170,59],[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_9><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_25><DEPTH_56><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_116><DEPTH_9><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_9><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_25><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_69><DEPTH_116><DEPTH_116><DEPTH_30><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_125><DEPTH_125><DEPTH_125><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_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><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 [[101,54],[79,66],[124,87],[174,54],[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 [[里, Ôij, 롼, ðŁħ¢, à²Ł, ãĦĵ, ðŁİij], [ðĿļģ, Ôij, íĭį, ðŁħ¢, áĭ©, ãī«, ðŁİij], [Ôij, ÔĪ, íĵ¶, ðĿĻľ, áIJ§, ï±Ĭ, ðŁİij], [Ôij, Ȳ, 臘, ðĿļģ, áĮĶ, ï±Ĭ, ðŁİij], [Ýĵ, ðĿļģ, ï¥ł, ðŁıĩ, áIJ§, ãī«, ðŁİij], [Ý¥, ðĿĵŀ, ï¥ł, Ȳ, áĴĮ, ãħĸ, ðŁİij], [ॱ, ðIJŃĵ, ðIJ±ħ, ÔĪ, áĶħ, ãĦĵ, ðŁİij], [áī¨, ðŁħ¢, ðĸ¥¨, ʶ, áĬĴ, âĿª, ðŁİij]]."
]
}
| 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 [[里, Ôij, 롼, ðŁħ¢, à²Ł, ãĦĵ, ðŁİij], [ðĿļģ, Ôij, íĭį, ðŁħ¢, áĭ©, ãī«, ðŁİij], [Ôij, ÔĪ, íĵ¶, ðĿĻľ, áIJ§, ï±Ĭ, ðŁİij], [Ôij, Ȳ, 臘, ðĿļģ, áĮĶ, ï±Ĭ, ðŁİij], [Ýĵ, ðĿļģ, ï¥ł, ðŁıĩ, áIJ§, ãī«, ðŁİij], [Ý¥, ðĿĵŀ, ï¥ł, Ȳ, áĴĮ, ãħĸ, ðŁİij], [ॱ, ðIJŃĵ, ðIJ±ħ, ÔĪ, áĶħ, ãĦĵ, ðŁİij], [áī¨, ðŁħ¢, ðĸ¥¨, ʶ, áĬĴ, âĿª, ðŁİij]]."
]
}
|
[[101,54],[79,66],[124,87],[174,54],[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_9><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_116><DEPTH_101><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_116><DEPTH_116><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_8><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_8><DEPTH_9><DEPTH_116><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_125><DEPTH_125><DEPTH_125><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_26><DEPTH_26><DEPTH_75><DEPTH_26><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 [[102,57],[79,66],[124,87],[174,54],[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 [[ðĿļģ, Ôij, íĭį, ðŁħ¢, áĭ©, ãī«, ðŁİij], [Ôij, ÔĪ, íĵ¶, ðĿĻľ, áIJ§, ï±Ĭ, ðŁİij], [Ôij, Ȳ, 臘, ðĿļģ, áĮĶ, ï±Ĭ, ðŁİij], [Ýĵ, ðĿļģ, ï¥ł, ðŁıĩ, áIJ§, ãī«, ðŁİij], [Ý¥, ðĿĵŀ, ï¥ł, Ȳ, áĴĮ, ãħĸ, ðŁİij], [ॱ, ðIJŃĵ, ðIJ±ħ, ÔĪ, áĶħ, ãĦĵ, ðŁİij], [áī¨, ðŁħ¢, ðĸ¥¨, ʶ, áĬĴ, âĿª, ðŁİij], [áĮĦ, ðŁħ¢, ðĸ¥¨, Ôij, áĭ©, âķĬ, ðŁİij]]."
]
}
| 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 [[ðĿļģ, Ôij, íĭį, ðŁħ¢, áĭ©, ãī«, ðŁİij], [Ôij, ÔĪ, íĵ¶, ðĿĻľ, áIJ§, ï±Ĭ, ðŁİij], [Ôij, Ȳ, 臘, ðĿļģ, áĮĶ, ï±Ĭ, ðŁİij], [Ýĵ, ðĿļģ, ï¥ł, ðŁıĩ, áIJ§, ãī«, ðŁİij], [Ý¥, ðĿĵŀ, ï¥ł, Ȳ, áĴĮ, ãħĸ, ðŁİij], [ॱ, ðIJŃĵ, ðIJ±ħ, ÔĪ, áĶħ, ãĦĵ, ðŁİij], [áī¨, ðŁħ¢, ðĸ¥¨, ʶ, áĬĴ, âĿª, ðŁİij], [áĮĦ, ðŁħ¢, ðĸ¥¨, Ôij, áĭ©, âķĬ, ðŁİij]]."
]
}
|
[[102,57],[79,66],[124,87],[174,54],[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_9><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_25><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_8><DEPTH_9><DEPTH_9><DEPTH_30><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_30><DEPTH_125><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><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 [[102,59],[78,164],[135,88],[174,54],[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 [[Ôij, ÔĪ, íĵ¶, ðĿĻľ, áIJ§, ï±Ĭ, ðŁİij], [Ôij, Ȳ, 臘, ðĿļģ, áĮĶ, ï±Ĭ, ðŁİij], [Ýĵ, ðĿļģ, ï¥ł, ðŁıĩ, áIJ§, ãī«, ðŁİij], [Ý¥, ðĿĵŀ, ï¥ł, Ȳ, áĴĮ, ãħĸ, ðŁİij], [ॱ, ðIJŃĵ, ðIJ±ħ, ÔĪ, áĶħ, ãĦĵ, ðŁİij], [áī¨, ðŁħ¢, ðĸ¥¨, ʶ, áĬĴ, âĿª, ðŁİij], [áĮĦ, ðŁħ¢, ðĸ¥¨, Ôij, áĭ©, âķĬ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿij³, Ýĵ, áĬĴ, á¸Ĭ, ðŁİij]]."
]
}
| 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 [[Ôij, ÔĪ, íĵ¶, ðĿĻľ, áIJ§, ï±Ĭ, ðŁİij], [Ôij, Ȳ, 臘, ðĿļģ, áĮĶ, ï±Ĭ, ðŁİij], [Ýĵ, ðĿļģ, ï¥ł, ðŁıĩ, áIJ§, ãī«, ðŁİij], [Ý¥, ðĿĵŀ, ï¥ł, Ȳ, áĴĮ, ãħĸ, ðŁİij], [ॱ, ðIJŃĵ, ðIJ±ħ, ÔĪ, áĶħ, ãĦĵ, ðŁİij], [áī¨, ðŁħ¢, ðĸ¥¨, ʶ, áĬĴ, âĿª, ðŁİij], [áĮĦ, ðŁħ¢, ðĸ¥¨, Ôij, áĭ©, âķĬ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿij³, Ýĵ, áĬĴ, á¸Ĭ, ðŁİij]]."
]
}
|
[[102,59],[78,164],[135,88],[174,54],[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_9><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_116><DEPTH_56><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_69><DEPTH_26><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_69><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_32><DEPTH_69><DEPTH_9><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_26><DEPTH_125><DEPTH_125><DEPTH_125><DEPTH_32><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_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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[102,59],[78,164],[135,88],[174,54],[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 [[Ôij, Ȳ, 臘, ðĿļģ, áĮĶ, ï±Ĭ, ðŁİij], [Ýĵ, ðĿļģ, ï¥ł, ðŁıĩ, áIJ§, ãī«, ðŁİij], [Ý¥, ðĿĵŀ, ï¥ł, Ȳ, áĴĮ, ãħĸ, ðŁİij], [ॱ, ðIJŃĵ, ðIJ±ħ, ÔĪ, áĶħ, ãĦĵ, ðŁİij], [áī¨, ðŁħ¢, ðĸ¥¨, ʶ, áĬĴ, âĿª, ðŁİij], [áĮĦ, ðŁħ¢, ðĸ¥¨, Ôij, áĭ©, âķĬ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿij³, Ýĵ, áĬĴ, á¸Ĭ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿĵķ, Ôij, áī¨, áĽIJ, ðŁİij]]."
]
}
| 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 [[Ôij, Ȳ, 臘, ðĿļģ, áĮĶ, ï±Ĭ, ðŁİij], [Ýĵ, ðĿļģ, ï¥ł, ðŁıĩ, áIJ§, ãī«, ðŁİij], [Ý¥, ðĿĵŀ, ï¥ł, Ȳ, áĴĮ, ãħĸ, ðŁİij], [ॱ, ðIJŃĵ, ðIJ±ħ, ÔĪ, áĶħ, ãĦĵ, ðŁİij], [áī¨, ðŁħ¢, ðĸ¥¨, ʶ, áĬĴ, âĿª, ðŁİij], [áĮĦ, ðŁħ¢, ðĸ¥¨, Ôij, áĭ©, âķĬ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿij³, Ýĵ, áĬĴ, á¸Ĭ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿĵķ, Ôij, áī¨, áĽIJ, ðŁİij]]."
]
}
|
[[102,59],[78,164],[135,88],[174,54],[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_69><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_116><DEPTH_56><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_9><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_69><DEPTH_26><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_69><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_32><DEPTH_69><DEPTH_9><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_101><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_26><DEPTH_125><DEPTH_69><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_8><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 [[102,59],[78,161],[127,77],[174,56],[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 [[Ýĵ, ðĿļģ, ï¥ł, ðŁıĩ, áIJ§, ãī«, ðŁİij], [Ý¥, ðĿĵŀ, ï¥ł, Ȳ, áĴĮ, ãħĸ, ðŁİij], [ॱ, ðIJŃĵ, ðIJ±ħ, ÔĪ, áĶħ, ãĦĵ, ðŁİij], [áī¨, ðŁħ¢, ðĸ¥¨, ʶ, áĬĴ, âĿª, ðŁİij], [áĮĦ, ðŁħ¢, ðĸ¥¨, Ôij, áĭ©, âķĬ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿij³, Ýĵ, áĬĴ, á¸Ĭ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿĵķ, Ôij, áī¨, áĽIJ, ðŁİij], [áĮĦ, ðIJŃĵ, ðĿĵķ, Ýĵ, áģ¼, ÆĪ, ðŁİij]]."
]
}
| 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 [[Ýĵ, ðĿļģ, ï¥ł, ðŁıĩ, áIJ§, ãī«, ðŁİij], [Ý¥, ðĿĵŀ, ï¥ł, Ȳ, áĴĮ, ãħĸ, ðŁİij], [ॱ, ðIJŃĵ, ðIJ±ħ, ÔĪ, áĶħ, ãĦĵ, ðŁİij], [áī¨, ðŁħ¢, ðĸ¥¨, ʶ, áĬĴ, âĿª, ðŁİij], [áĮĦ, ðŁħ¢, ðĸ¥¨, Ôij, áĭ©, âķĬ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿij³, Ýĵ, áĬĴ, á¸Ĭ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿĵķ, Ôij, áī¨, áĽIJ, ðŁİij], [áĮĦ, ðIJŃĵ, ðĿĵķ, Ýĵ, áģ¼, ÆĪ, ðŁİij]]."
]
}
|
[[102,59],[78,161],[127,77],[174,56],[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_9><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_25><DEPTH_56><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_26><DEPTH_56><DEPTH_30><DEPTH_9><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_69><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_9><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_28><DEPTH_28><DEPTH_116><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_125><DEPTH_69><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_8><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 [[102,60],[78,161],[127,77],[174,56],[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 [[Ý¥, ðĿĵŀ, ï¥ł, Ȳ, áĴĮ, ãħĸ, ðŁİij], [ॱ, ðIJŃĵ, ðIJ±ħ, ÔĪ, áĶħ, ãĦĵ, ðŁİij], [áī¨, ðŁħ¢, ðĸ¥¨, ʶ, áĬĴ, âĿª, ðŁİij], [áĮĦ, ðŁħ¢, ðĸ¥¨, Ôij, áĭ©, âķĬ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿij³, Ýĵ, áĬĴ, á¸Ĭ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿĵķ, Ôij, áī¨, áĽIJ, ðŁİij], [áĮĦ, ðIJŃĵ, ðĿĵķ, Ýĵ, áģ¼, ÆĪ, ðŁİij], [áĮĦ, ï¤Ĩ, ðĿĵķ, Ý¥, áī¨, ðĿĻ¼, ðŁİij]]."
]
}
| 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 [[Ý¥, ðĿĵŀ, ï¥ł, Ȳ, áĴĮ, ãħĸ, ðŁİij], [ॱ, ðIJŃĵ, ðIJ±ħ, ÔĪ, áĶħ, ãĦĵ, ðŁİij], [áī¨, ðŁħ¢, ðĸ¥¨, ʶ, áĬĴ, âĿª, ðŁİij], [áĮĦ, ðŁħ¢, ðĸ¥¨, Ôij, áĭ©, âķĬ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿij³, Ýĵ, áĬĴ, á¸Ĭ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿĵķ, Ôij, áī¨, áĽIJ, ðŁİij], [áĮĦ, ðIJŃĵ, ðĿĵķ, Ýĵ, áģ¼, ÆĪ, ðŁİij], [áĮĦ, ï¤Ĩ, ðĿĵķ, Ý¥, áī¨, ðĿĻ¼, ðŁİij]]."
]
}
|
[[102,60],[78,161],[127,77],[174,56],[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_9><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_116><DEPTH_25><DEPTH_116><DEPTH_9><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_116><DEPTH_56><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_26><DEPTH_56><DEPTH_30><DEPTH_116><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_8><DEPTH_26><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_69><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_101><DEPTH_8><DEPTH_69><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_26><DEPTH_125><DEPTH_125><DEPTH_125><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_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 [[77,78],[78,161],[135,86],[174,56],[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 [[ॱ, ðIJŃĵ, ðIJ±ħ, ÔĪ, áĶħ, ãĦĵ, ðŁİij], [áī¨, ðŁħ¢, ðĸ¥¨, ʶ, áĬĴ, âĿª, ðŁİij], [áĮĦ, ðŁħ¢, ðĸ¥¨, Ôij, áĭ©, âķĬ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿij³, Ýĵ, áĬĴ, á¸Ĭ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿĵķ, Ôij, áī¨, áĽIJ, ðŁİij], [áĮĦ, ðIJŃĵ, ðĿĵķ, Ýĵ, áģ¼, ÆĪ, ðŁİij], [áĮĦ, ï¤Ĩ, ðĿĵķ, Ý¥, áī¨, ðĿĻ¼, ðŁİij], [áĴĮ, ðIJ¤Ķ, ðĿĶĵ, ðŁıĩ, áģ¼, ðĿĻ°, ðŁİij]]."
]
}
| 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 [[ॱ, ðIJŃĵ, ðIJ±ħ, ÔĪ, áĶħ, ãĦĵ, ðŁİij], [áī¨, ðŁħ¢, ðĸ¥¨, ʶ, áĬĴ, âĿª, ðŁİij], [áĮĦ, ðŁħ¢, ðĸ¥¨, Ôij, áĭ©, âķĬ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿij³, Ýĵ, áĬĴ, á¸Ĭ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿĵķ, Ôij, áī¨, áĽIJ, ðŁİij], [áĮĦ, ðIJŃĵ, ðĿĵķ, Ýĵ, áģ¼, ÆĪ, ðŁİij], [áĮĦ, ï¤Ĩ, ðĿĵķ, Ý¥, áī¨, ðĿĻ¼, ðŁİij], [áĴĮ, ðIJ¤Ķ, ðĿĶĵ, ðŁıĩ, áģ¼, ðĿĻ°, ðŁİij]]."
]
}
|
[[77,78],[78,161],[135,86],[174,56],[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_9><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_116><DEPTH_56><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_26><DEPTH_32><DEPTH_30><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_69><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_101><DEPTH_69><DEPTH_69><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_116><DEPTH_25><DEPTH_116><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_125><DEPTH_125><DEPTH_125><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_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><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 [[77,78],[73,164],[135,86],[174,56],[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 [[áī¨, ðŁħ¢, ðĸ¥¨, ʶ, áĬĴ, âĿª, ðŁİij], [áĮĦ, ðŁħ¢, ðĸ¥¨, Ôij, áĭ©, âķĬ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿij³, Ýĵ, áĬĴ, á¸Ĭ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿĵķ, Ôij, áī¨, áĽIJ, ðŁİij], [áĮĦ, ðIJŃĵ, ðĿĵķ, Ýĵ, áģ¼, ÆĪ, ðŁİij], [áĮĦ, ï¤Ĩ, ðĿĵķ, Ý¥, áī¨, ðĿĻ¼, ðŁİij], [áĴĮ, ðIJ¤Ķ, ðĿĶĵ, ðŁıĩ, áģ¼, ðĿĻ°, ðŁİij], [â²¢, ðŁħ¢, ðĿĺIJ, ðĿĻľ, à°µ, ðĿĺı, ðŁİij]]."
]
}
| 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 [[áī¨, ðŁħ¢, ðĸ¥¨, ʶ, áĬĴ, âĿª, ðŁİij], [áĮĦ, ðŁħ¢, ðĸ¥¨, Ôij, áĭ©, âķĬ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿij³, Ýĵ, áĬĴ, á¸Ĭ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿĵķ, Ôij, áī¨, áĽIJ, ðŁİij], [áĮĦ, ðIJŃĵ, ðĿĵķ, Ýĵ, áģ¼, ÆĪ, ðŁİij], [áĮĦ, ï¤Ĩ, ðĿĵķ, Ý¥, áī¨, ðĿĻ¼, ðŁİij], [áĴĮ, ðIJ¤Ķ, ðĿĶĵ, ðŁıĩ, áģ¼, ðĿĻ°, ðŁİij], [â²¢, ðŁħ¢, ðĿĺIJ, ðĿĻľ, à°µ, ðĿĺı, ðŁİij]]."
]
}
|
[[77,78],[73,164],[135,86],[174,56],[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_69><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_116><DEPTH_56><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_26><DEPTH_32><DEPTH_30><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_69><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_125><DEPTH_69><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_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[77,77],[78,71],[119,76],[170,59],[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, ðŁħ¢, ðĸ¥¨, Ôij, áĭ©, âķĬ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿij³, Ýĵ, áĬĴ, á¸Ĭ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿĵķ, Ôij, áī¨, áĽIJ, ðŁİij], [áĮĦ, ðIJŃĵ, ðĿĵķ, Ýĵ, áģ¼, ÆĪ, ðŁİij], [áĮĦ, ï¤Ĩ, ðĿĵķ, Ý¥, áī¨, ðĿĻ¼, ðŁİij], [áĴĮ, ðIJ¤Ķ, ðĿĶĵ, ðŁıĩ, áģ¼, ðĿĻ°, ðŁİij], [â²¢, ðŁħ¢, ðĿĺIJ, ðĿĻľ, à°µ, ðĿĺı, ðŁİij], [ìĨĬ, ðŁıĩ, ðĿĻ¼, ðĿĵ°, à°µ, ðĿķį, ðŁİij]]."
]
}
| 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, ðŁħ¢, ðĸ¥¨, Ôij, áĭ©, âķĬ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿij³, Ýĵ, áĬĴ, á¸Ĭ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿĵķ, Ôij, áī¨, áĽIJ, ðŁİij], [áĮĦ, ðIJŃĵ, ðĿĵķ, Ýĵ, áģ¼, ÆĪ, ðŁİij], [áĮĦ, ï¤Ĩ, ðĿĵķ, Ý¥, áī¨, ðĿĻ¼, ðŁİij], [áĴĮ, ðIJ¤Ķ, ðĿĶĵ, ðŁıĩ, áģ¼, ðĿĻ°, ðŁİij], [â²¢, ðŁħ¢, ðĿĺIJ, ðĿĻľ, à°µ, ðĿĺı, ðŁİij], [ìĨĬ, ðŁıĩ, ðĿĻ¼, ðĿĵ°, à°µ, ðĿķį, ðŁİij]]."
]
}
|
[[77,77],[78,71],[119,76],[170,59],[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_69><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_69><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_116><DEPTH_56><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_26><DEPTH_32><DEPTH_125><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_116><DEPTH_75><DEPTH_8><DEPTH_69><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_26><DEPTH_125><DEPTH_125><DEPTH_125><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_26><DEPTH_26><DEPTH_101><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 [[77,77],[78,71],[119,76],[170,59],[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, ðŁħ¢, ðĿij³, Ýĵ, áĬĴ, á¸Ĭ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿĵķ, Ôij, áī¨, áĽIJ, ðŁİij], [áĮĦ, ðIJŃĵ, ðĿĵķ, Ýĵ, áģ¼, ÆĪ, ðŁİij], [áĮĦ, ï¤Ĩ, ðĿĵķ, Ý¥, áī¨, ðĿĻ¼, ðŁİij], [áĴĮ, ðIJ¤Ķ, ðĿĶĵ, ðŁıĩ, áģ¼, ðĿĻ°, ðŁİij], [â²¢, ðŁħ¢, ðĿĺIJ, ðĿĻľ, à°µ, ðĿĺı, ðŁİij], [ìĨĬ, ðŁıĩ, ðĿĻ¼, ðĿĵ°, à°µ, ðĿķį, ðŁİij], [íĵ¶, ÔĪ, àłĮ, ðĿĻľ, à°µ, ðĿij³, ðŁİij]]."
]
}
| 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, ðŁħ¢, ðĿij³, Ýĵ, áĬĴ, á¸Ĭ, ðŁİij], [áĮĦ, ðŁħ¢, ðĿĵķ, Ôij, áī¨, áĽIJ, ðŁİij], [áĮĦ, ðIJŃĵ, ðĿĵķ, Ýĵ, áģ¼, ÆĪ, ðŁİij], [áĮĦ, ï¤Ĩ, ðĿĵķ, Ý¥, áī¨, ðĿĻ¼, ðŁİij], [áĴĮ, ðIJ¤Ķ, ðĿĶĵ, ðŁıĩ, áģ¼, ðĿĻ°, ðŁİij], [â²¢, ðŁħ¢, ðĿĺIJ, ðĿĻľ, à°µ, ðĿĺı, ðŁİij], [ìĨĬ, ðŁıĩ, ðĿĻ¼, ðĿĵ°, à°µ, ðĿķį, ðŁİij], [íĵ¶, ÔĪ, àłĮ, ðĿĻľ, à°µ, ðĿij³, ðŁİij]]."
]
}
|
[[77,77],[78,71],[119,76],[170,59],[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_9><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_116><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_26><DEPTH_32><DEPTH_125><DEPTH_116><DEPTH_74><DEPTH_74><DEPTH_28><DEPTH_28><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_9><DEPTH_26><DEPTH_8><DEPTH_69><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_116><DEPTH_25><DEPTH_116><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_26><DEPTH_125><DEPTH_125><DEPTH_125><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_26><DEPTH_26><DEPTH_75><DEPTH_26><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 [[101,65],[78,71],[140,68],[170,59],[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, ðŁħ¢, ðĿĵķ, Ôij, áī¨, áĽIJ, ðŁİij], [áĮĦ, ðIJŃĵ, ðĿĵķ, Ýĵ, áģ¼, ÆĪ, ðŁİij], [áĮĦ, ï¤Ĩ, ðĿĵķ, Ý¥, áī¨, ðĿĻ¼, ðŁİij], [áĴĮ, ðIJ¤Ķ, ðĿĶĵ, ðŁıĩ, áģ¼, ðĿĻ°, ðŁİij], [â²¢, ðŁħ¢, ðĿĺIJ, ðĿĻľ, à°µ, ðĿĺı, ðŁİij], [ìĨĬ, ðŁıĩ, ðĿĻ¼, ðĿĵ°, à°µ, ðĿķį, ðŁİij], [íĵ¶, ÔĪ, àłĮ, ðĿĻľ, à°µ, ðĿij³, ðŁİij], [íĵ», Ýĵ, á¸Ĭ, ðĿĻľ, à°µ, ðĸ¥, ðŁİij]]."
]
}
| 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, ðŁħ¢, ðĿĵķ, Ôij, áī¨, áĽIJ, ðŁİij], [áĮĦ, ðIJŃĵ, ðĿĵķ, Ýĵ, áģ¼, ÆĪ, ðŁİij], [áĮĦ, ï¤Ĩ, ðĿĵķ, Ý¥, áī¨, ðĿĻ¼, ðŁİij], [áĴĮ, ðIJ¤Ķ, ðĿĶĵ, ðŁıĩ, áģ¼, ðĿĻ°, ðŁİij], [â²¢, ðŁħ¢, ðĿĺIJ, ðĿĻľ, à°µ, ðĿĺı, ðŁİij], [ìĨĬ, ðŁıĩ, ðĿĻ¼, ðĿĵ°, à°µ, ðĿķį, ðŁİij], [íĵ¶, ÔĪ, àłĮ, ðĿĻľ, à°µ, ðĿij³, ðŁİij], [íĵ», Ýĵ, á¸Ĭ, ðĿĻľ, à°µ, ðĸ¥, ðŁİij]]."
]
}
|
[[101,65],[78,71],[140,68],[170,59],[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_9><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_9><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_26><DEPTH_8><DEPTH_125><DEPTH_116><DEPTH_74><DEPTH_74><DEPTH_28><DEPTH_28><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_9><DEPTH_55><DEPTH_28><DEPTH_116><DEPTH_25><DEPTH_9><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_116><DEPTH_32><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_26><DEPTH_125><DEPTH_125><DEPTH_125><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_26><DEPTH_75><DEPTH_101><DEPTH_26><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 [[99,66],[73,71],[140,68],[170,59],[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, ðIJŃĵ, ðĿĵķ, Ýĵ, áģ¼, ÆĪ, ðŁİij], [áĮĦ, ï¤Ĩ, ðĿĵķ, Ý¥, áī¨, ðĿĻ¼, ðŁİij], [áĴĮ, ðIJ¤Ķ, ðĿĶĵ, ðŁıĩ, áģ¼, ðĿĻ°, ðŁİij], [â²¢, ðŁħ¢, ðĿĺIJ, ðĿĻľ, à°µ, ðĿĺı, ðŁİij], [ìĨĬ, ðŁıĩ, ðĿĻ¼, ðĿĵ°, à°µ, ðĿķį, ðŁİij], [íĵ¶, ÔĪ, àłĮ, ðĿĻľ, à°µ, ðĿij³, ðŁİij], [íĵ», Ýĵ, á¸Ĭ, ðĿĻľ, à°µ, ðĸ¥, ðŁİij], [íĵ», Ýĵ, âĿ«, ðĿĻľ, áĢı, 辰, ðŁİij]]."
]
}
| 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, ðIJŃĵ, ðĿĵķ, Ýĵ, áģ¼, ÆĪ, ðŁİij], [áĮĦ, ï¤Ĩ, ðĿĵķ, Ý¥, áī¨, ðĿĻ¼, ðŁİij], [áĴĮ, ðIJ¤Ķ, ðĿĶĵ, ðŁıĩ, áģ¼, ðĿĻ°, ðŁİij], [â²¢, ðŁħ¢, ðĿĺIJ, ðĿĻľ, à°µ, ðĿĺı, ðŁİij], [ìĨĬ, ðŁıĩ, ðĿĻ¼, ðĿĵ°, à°µ, ðĿķį, ðŁİij], [íĵ¶, ÔĪ, àłĮ, ðĿĻľ, à°µ, ðĿij³, ðŁİij], [íĵ», Ýĵ, á¸Ĭ, ðĿĻľ, à°µ, ðĸ¥, ðŁİij], [íĵ», Ýĵ, âĿ«, ðĿĻľ, áĢı, 辰, ðŁİij]]."
]
}
|
[[99,66],[73,71],[140,68],[170,59],[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_69><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_116><DEPTH_25><DEPTH_116><DEPTH_30><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_9><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_28><DEPTH_25><DEPTH_26><DEPTH_8><DEPTH_125><DEPTH_116><DEPTH_74><DEPTH_74><DEPTH_28><DEPTH_28><DEPTH_9><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_9><DEPTH_55><DEPTH_28><DEPTH_116><DEPTH_25><DEPTH_69><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_32><DEPTH_116><DEPTH_25><DEPTH_116><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_26><DEPTH_125><DEPTH_125><DEPTH_125><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_26><DEPTH_26><DEPTH_101><DEPTH_26><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 [[99,71],[73,71],[135,65],[170,57],[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, ï¤Ĩ, ðĿĵķ, Ý¥, áī¨, ðĿĻ¼, ðŁİij], [áĴĮ, ðIJ¤Ķ, ðĿĶĵ, ðŁıĩ, áģ¼, ðĿĻ°, ðŁİij], [â²¢, ðŁħ¢, ðĿĺIJ, ðĿĻľ, à°µ, ðĿĺı, ðŁİij], [ìĨĬ, ðŁıĩ, ðĿĻ¼, ðĿĵ°, à°µ, ðĿķį, ðŁİij], [íĵ¶, ÔĪ, àłĮ, ðĿĻľ, à°µ, ðĿij³, ðŁİij], [íĵ», Ýĵ, á¸Ĭ, ðĿĻľ, à°µ, ðĸ¥, ðŁİij], [íĵ», Ýĵ, âĿ«, ðĿĻľ, áĢı, 辰, ðŁİij], [臘, ðŁħ¢, ãĦĵ, ðŁħ¢, áī¨, íĵ¶, ðŁİij]]."
]
}
| 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, ï¤Ĩ, ðĿĵķ, Ý¥, áī¨, ðĿĻ¼, ðŁİij], [áĴĮ, ðIJ¤Ķ, ðĿĶĵ, ðŁıĩ, áģ¼, ðĿĻ°, ðŁİij], [â²¢, ðŁħ¢, ðĿĺIJ, ðĿĻľ, à°µ, ðĿĺı, ðŁİij], [ìĨĬ, ðŁıĩ, ðĿĻ¼, ðĿĵ°, à°µ, ðĿķį, ðŁİij], [íĵ¶, ÔĪ, àłĮ, ðĿĻľ, à°µ, ðĿij³, ðŁİij], [íĵ», Ýĵ, á¸Ĭ, ðĿĻľ, à°µ, ðĸ¥, ðŁİij], [íĵ», Ýĵ, âĿ«, ðĿĻľ, áĢı, 辰, ðŁİij], [臘, ðŁħ¢, ãĦĵ, ðŁħ¢, áī¨, íĵ¶, ðŁİij]]."
]
}
|
[[99,71],[73,71],[135,65],[170,57],[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_9><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_30><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_9><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_26><DEPTH_8><DEPTH_125><DEPTH_116><DEPTH_74><DEPTH_74><DEPTH_28><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_55><DEPTH_28><DEPTH_116><DEPTH_25><DEPTH_8><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_116><DEPTH_8><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_9><DEPTH_26><DEPTH_125><DEPTH_125><DEPTH_125><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_26><DEPTH_75><DEPTH_101><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 [[71,77],[73,71],[135,65],[170,57],[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, ðIJ¤Ķ, ðĿĶĵ, ðŁıĩ, áģ¼, ðĿĻ°, ðŁİij], [â²¢, ðŁħ¢, ðĿĺIJ, ðĿĻľ, à°µ, ðĿĺı, ðŁİij], [ìĨĬ, ðŁıĩ, ðĿĻ¼, ðĿĵ°, à°µ, ðĿķį, ðŁİij], [íĵ¶, ÔĪ, àłĮ, ðĿĻľ, à°µ, ðĿij³, ðŁİij], [íĵ», Ýĵ, á¸Ĭ, ðĿĻľ, à°µ, ðĸ¥, ðŁİij], [íĵ», Ýĵ, âĿ«, ðĿĻľ, áĢı, 辰, ðŁİij], [臘, ðŁħ¢, ãĦĵ, ðŁħ¢, áī¨, íĵ¶, ðŁİij], [íĵ¶, ðĿĻľ, ãħĸ, ðŁħ¢, à°µ, ì¼ĩ, ðŁİij]]."
]
}
| 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, ðIJ¤Ķ, ðĿĶĵ, ðŁıĩ, áģ¼, ðĿĻ°, ðŁİij], [â²¢, ðŁħ¢, ðĿĺIJ, ðĿĻľ, à°µ, ðĿĺı, ðŁİij], [ìĨĬ, ðŁıĩ, ðĿĻ¼, ðĿĵ°, à°µ, ðĿķį, ðŁİij], [íĵ¶, ÔĪ, àłĮ, ðĿĻľ, à°µ, ðĿij³, ðŁİij], [íĵ», Ýĵ, á¸Ĭ, ðĿĻľ, à°µ, ðĸ¥, ðŁİij], [íĵ», Ýĵ, âĿ«, ðĿĻľ, áĢı, 辰, ðŁİij], [臘, ðŁħ¢, ãĦĵ, ðŁħ¢, áī¨, íĵ¶, ðŁİij], [íĵ¶, ðĿĻľ, ãħĸ, ðŁħ¢, à°µ, ì¼ĩ, ðŁİij]]."
]
}
|
[[71,77],[73,71],[135,65],[170,57],[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_9><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_9><DEPTH_116><DEPTH_9><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_28><DEPTH_116><DEPTH_75><DEPTH_8><DEPTH_125><DEPTH_116><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_116><DEPTH_30><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_55><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_8><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_116><DEPTH_8><DEPTH_116><DEPTH_25><DEPTH_116><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_26><DEPTH_125><DEPTH_125><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_101><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 [[65,7],[78,71],[145,84],[170,57],[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¢, ðŁħ¢, ðĿĺIJ, ðĿĻľ, à°µ, ðĿĺı, ðŁİij], [ìĨĬ, ðŁıĩ, ðĿĻ¼, ðĿĵ°, à°µ, ðĿķį, ðŁİij], [íĵ¶, ÔĪ, àłĮ, ðĿĻľ, à°µ, ðĿij³, ðŁİij], [íĵ», Ýĵ, á¸Ĭ, ðĿĻľ, à°µ, ðĸ¥, ðŁİij], [íĵ», Ýĵ, âĿ«, ðĿĻľ, áĢı, 辰, ðŁİij], [臘, ðŁħ¢, ãĦĵ, ðŁħ¢, áī¨, íĵ¶, ðŁİij], [íĵ¶, ðĿĻľ, ãħĸ, ðŁħ¢, à°µ, ì¼ĩ, ðŁİij], [íĵ¶, ðŁħ¢, ê¦Ķ, ðĿļģ, à°µ, ê²Ļ, ðŁİij]]."
]
}
| 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¢, ðŁħ¢, ðĿĺIJ, ðĿĻľ, à°µ, ðĿĺı, ðŁİij], [ìĨĬ, ðŁıĩ, ðĿĻ¼, ðĿĵ°, à°µ, ðĿķį, ðŁİij], [íĵ¶, ÔĪ, àłĮ, ðĿĻľ, à°µ, ðĿij³, ðŁİij], [íĵ», Ýĵ, á¸Ĭ, ðĿĻľ, à°µ, ðĸ¥, ðŁİij], [íĵ», Ýĵ, âĿ«, ðĿĻľ, áĢı, 辰, ðŁİij], [臘, ðŁħ¢, ãĦĵ, ðŁħ¢, áī¨, íĵ¶, ðŁİij], [íĵ¶, ðĿĻľ, ãħĸ, ðŁħ¢, à°µ, ì¼ĩ, ðŁİij], [íĵ¶, ðŁħ¢, ê¦Ķ, ðĿļģ, à°µ, ê²Ļ, ðŁİij]]."
]
}
|
[[65,7],[78,71],[145,84],[170,57],[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_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_116><DEPTH_25><DEPTH_116><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_26><DEPTH_8><DEPTH_9><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_116><DEPTH_30><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_28><DEPTH_116><DEPTH_25><DEPTH_30><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_116><DEPTH_8><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_9><DEPTH_26><DEPTH_125><DEPTH_125><DEPTH_125><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_26><DEPTH_75><DEPTH_101><DEPTH_26><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 [[68,7],[78,71],[145,84],[170,57],[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, ðŁıĩ, ðĿĻ¼, ðĿĵ°, à°µ, ðĿķį, ðŁİij], [íĵ¶, ÔĪ, àłĮ, ðĿĻľ, à°µ, ðĿij³, ðŁİij], [íĵ», Ýĵ, á¸Ĭ, ðĿĻľ, à°µ, ðĸ¥, ðŁİij], [íĵ», Ýĵ, âĿ«, ðĿĻľ, áĢı, 辰, ðŁİij], [臘, ðŁħ¢, ãĦĵ, ðŁħ¢, áī¨, íĵ¶, ðŁİij], [íĵ¶, ðĿĻľ, ãħĸ, ðŁħ¢, à°µ, ì¼ĩ, ðŁİij], [íĵ¶, ðŁħ¢, ê¦Ķ, ðĿļģ, à°µ, ê²Ļ, ðŁİij], [臘, Ý¥, ê¦Ķ, ðIJ¤Ķ, à°µ, ãĪª, ðŁİij]]."
]
}
| 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, ðŁıĩ, ðĿĻ¼, ðĿĵ°, à°µ, ðĿķį, ðŁİij], [íĵ¶, ÔĪ, àłĮ, ðĿĻľ, à°µ, ðĿij³, ðŁİij], [íĵ», Ýĵ, á¸Ĭ, ðĿĻľ, à°µ, ðĸ¥, ðŁİij], [íĵ», Ýĵ, âĿ«, ðĿĻľ, áĢı, 辰, ðŁİij], [臘, ðŁħ¢, ãĦĵ, ðŁħ¢, áī¨, íĵ¶, ðŁİij], [íĵ¶, ðĿĻľ, ãħĸ, ðŁħ¢, à°µ, ì¼ĩ, ðŁİij], [íĵ¶, ðŁħ¢, ê¦Ķ, ðĿļģ, à°µ, ê²Ļ, ðŁİij], [臘, Ý¥, ê¦Ķ, ðIJ¤Ķ, à°µ, ãĪª, ðŁİij]]."
]
}
|
[[68,7],[78,71],[145,84],[170,57],[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_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_55><DEPTH_9><DEPTH_75><DEPTH_8><DEPTH_116><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_25><DEPTH_30><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_32><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_116><DEPTH_8><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_9><DEPTH_26><DEPTH_125><DEPTH_69><DEPTH_125><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_26><DEPTH_75><DEPTH_101><DEPTH_26><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 [[97,68],[77,71],[145,81],[170,66],[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 [[íĵ¶, ÔĪ, àłĮ, ðĿĻľ, à°µ, ðĿij³, ðŁİij], [íĵ», Ýĵ, á¸Ĭ, ðĿĻľ, à°µ, ðĸ¥, ðŁİij], [íĵ», Ýĵ, âĿ«, ðĿĻľ, áĢı, 辰, ðŁİij], [臘, ðŁħ¢, ãĦĵ, ðŁħ¢, áī¨, íĵ¶, ðŁİij], [íĵ¶, ðĿĻľ, ãħĸ, ðŁħ¢, à°µ, ì¼ĩ, ðŁİij], [íĵ¶, ðŁħ¢, ê¦Ķ, ðĿļģ, à°µ, ê²Ļ, ðŁİij], [臘, Ý¥, ê¦Ķ, ðIJ¤Ķ, à°µ, ãĪª, ðŁİij], [辰, à²Ł, ï±Ĭ, íĽľ, à°µ, âļ£, ðŁİij]]."
]
}
| 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 [[íĵ¶, ÔĪ, àłĮ, ðĿĻľ, à°µ, ðĿij³, ðŁİij], [íĵ», Ýĵ, á¸Ĭ, ðĿĻľ, à°µ, ðĸ¥, ðŁİij], [íĵ», Ýĵ, âĿ«, ðĿĻľ, áĢı, 辰, ðŁİij], [臘, ðŁħ¢, ãĦĵ, ðŁħ¢, áī¨, íĵ¶, ðŁİij], [íĵ¶, ðĿĻľ, ãħĸ, ðŁħ¢, à°µ, ì¼ĩ, ðŁİij], [íĵ¶, ðŁħ¢, ê¦Ķ, ðĿļģ, à°µ, ê²Ļ, ðŁİij], [臘, Ý¥, ê¦Ķ, ðIJ¤Ķ, à°µ, ãĪª, ðŁİij], [辰, à²Ł, ï±Ĭ, íĽľ, à°µ, âļ£, ðŁİij]]."
]
}
|
[[97,68],[77,71],[145,81],[170,66],[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_75><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_125><DEPTH_56><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_55><DEPTH_9><DEPTH_26><DEPTH_32><DEPTH_116><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_25><DEPTH_30><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_8><DEPTH_55><DEPTH_28><DEPTH_116><DEPTH_25><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_116><DEPTH_8><DEPTH_69><DEPTH_116><DEPTH_25><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_116><DEPTH_75><DEPTH_125><DEPTH_69><DEPTH_125><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_26><DEPTH_75><DEPTH_101><DEPTH_26><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 [[78,110],[77,71],[145,81],[170,66],[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 [[íĵ», Ýĵ, á¸Ĭ, ðĿĻľ, à°µ, ðĸ¥, ðŁİij], [íĵ», Ýĵ, âĿ«, ðĿĻľ, áĢı, 辰, ðŁİij], [臘, ðŁħ¢, ãĦĵ, ðŁħ¢, áī¨, íĵ¶, ðŁİij], [íĵ¶, ðĿĻľ, ãħĸ, ðŁħ¢, à°µ, ì¼ĩ, ðŁİij], [íĵ¶, ðŁħ¢, ê¦Ķ, ðĿļģ, à°µ, ê²Ļ, ðŁİij], [臘, Ý¥, ê¦Ķ, ðIJ¤Ķ, à°µ, ãĪª, ðŁİij], [辰, à²Ł, ï±Ĭ, íĽľ, à°µ, âļ£, ðŁİij], [ðĸ¥, à²Ł, ï±Ĭ, íķ±, à°µ, âĺµ, ðŁİij]]."
]
}
| 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 [[íĵ», Ýĵ, á¸Ĭ, ðĿĻľ, à°µ, ðĸ¥, ðŁİij], [íĵ», Ýĵ, âĿ«, ðĿĻľ, áĢı, 辰, ðŁİij], [臘, ðŁħ¢, ãĦĵ, ðŁħ¢, áī¨, íĵ¶, ðŁİij], [íĵ¶, ðĿĻľ, ãħĸ, ðŁħ¢, à°µ, ì¼ĩ, ðŁİij], [íĵ¶, ðŁħ¢, ê¦Ķ, ðĿļģ, à°µ, ê²Ļ, ðŁİij], [臘, Ý¥, ê¦Ķ, ðIJ¤Ķ, à°µ, ãĪª, ðŁİij], [辰, à²Ł, ï±Ĭ, íĽľ, à°µ, âļ£, ðŁİij], [ðĸ¥, à²Ł, ï±Ĭ, íķ±, à°µ, âĺµ, ðŁİij]]."
]
}
|
[[78,110],[77,71],[145,81],[170,66],[174,91]]
|
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