image
imagewidth (px) 256
256
| wrist
imagewidth (px) 256
256
| conversations
dict | annotation
stringlengths 8
51
⌀ |
|---|---|---|---|
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, 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_75><DEPTH_69><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_84><DEPTH_101><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_69><DEPTH_74><DEPTH_74><DEPTH_9><DEPTH_9><DEPTH_101><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_56><DEPTH_74><DEPTH_28><DEPTH_74><DEPTH_56><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_32><DEPTH_116><DEPTH_9><DEPTH_28><DEPTH_32><DEPTH_69><DEPTH_25><DEPTH_9><DEPTH_69><DEPTH_69><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_8><DEPTH_69><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[5,56],[5,59],[124,90],[123,90],[124,90]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, ðĿĻ¼, âĺµ, ðŁħ¢, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĿĺı, âĺµ, íĽľ, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĿķį, âĺµ, ë¤Ĥ, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĿĵ¬, âĺµ, â¡¢, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĿij³, âĺµ, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĸ¥, âĺµ, á¾Ķ, áĭ©, Ý¥], [áĮĦ, à²Ł, ï¥ł, âļ£, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ê²´, íĵ», á¶ı, áĮĦ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. 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, à²Ł, ðĿĻ¼, âĺµ, ðŁħ¢, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĿĺı, âĺµ, íĽľ, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĿķį, âĺµ, ë¤Ĥ, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĿĵ¬, âĺµ, â¡¢, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĿij³, âĺµ, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĸ¥, âĺµ, á¾Ķ, áĭ©, Ý¥], [áĮĦ, à²Ł, ï¥ł, âļ£, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ê²´, íĵ», á¶ı, áĮĦ, ðŁİij]]."
]
}
|
[[5,56],[5,59],[124,90],[123,90],[124,90]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, 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_101><DEPTH_9><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_84><DEPTH_56><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_116><DEPTH_74><DEPTH_74><DEPTH_9><DEPTH_9><DEPTH_101><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_9><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_56><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_8><DEPTH_9><DEPTH_9><DEPTH_28><DEPTH_32><DEPTH_69><DEPTH_25><DEPTH_9><DEPTH_69><DEPTH_69><DEPTH_84><DEPTH_69><DEPTH_69><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_8><DEPTH_69><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[124,90],[124,90],[124,90],[123,90],[124,90]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, ðĿĺı, âĺµ, íĽľ, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĿķį, âĺµ, ë¤Ĥ, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĿĵ¬, âĺµ, â¡¢, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĿij³, âĺµ, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĸ¥, âĺµ, á¾Ķ, áĭ©, Ý¥], [áĮĦ, à²Ł, ï¥ł, âļ£, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ê²´, íĵ», á¶ı, áĮĦ, ðŁİij], [áĮĦ, à²Ł, áĮĶ, ðĿĵ¬, à´´, áĮĶ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. 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, à²Ł, ðĿĺı, âĺµ, íĽľ, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĿķį, âĺµ, ë¤Ĥ, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĿĵ¬, âĺµ, â¡¢, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĿij³, âĺµ, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĸ¥, âĺµ, á¾Ķ, áĭ©, Ý¥], [áĮĦ, à²Ł, ï¥ł, âļ£, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ê²´, íĵ», á¶ı, áĮĦ, ðŁİij], [áĮĦ, à²Ł, áĮĶ, ðĿĵ¬, à´´, áĮĶ, ðŁİij]]."
]
}
|
[[124,90],[124,90],[124,90],[123,90],[124,90]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, 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_101><DEPTH_69><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_84><DEPTH_101><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_9><DEPTH_74><DEPTH_74><DEPTH_9><DEPTH_9><DEPTH_101><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_8><DEPTH_74><DEPTH_28><DEPTH_74><DEPTH_56><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_28><DEPTH_32><DEPTH_69><DEPTH_25><DEPTH_9><DEPTH_69><DEPTH_69><DEPTH_30><DEPTH_69><DEPTH_69><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_8><DEPTH_69><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[5,59],[124,90],[124,90],[124,90],[124,90]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, ðĿķį, âĺµ, ë¤Ĥ, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĿĵ¬, âĺµ, â¡¢, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĿij³, âĺµ, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĸ¥, âĺµ, á¾Ķ, áĭ©, Ý¥], [áĮĦ, à²Ł, ï¥ł, âļ£, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ê²´, íĵ», á¶ı, áĮĦ, ðŁİij], [áĮĦ, à²Ł, áĮĶ, ðĿĵ¬, à´´, áĮĶ, ðŁİij], [à°µ, à²Ł, à²Ł, ðĿĺIJ, á¶ı, âĶŀ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. 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, à²Ł, ðĿķį, âĺµ, ë¤Ĥ, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĿĵ¬, âĺµ, â¡¢, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĿij³, âĺµ, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĸ¥, âĺµ, á¾Ķ, áĭ©, Ý¥], [áĮĦ, à²Ł, ï¥ł, âļ£, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ê²´, íĵ», á¶ı, áĮĦ, ðŁİij], [áĮĦ, à²Ł, áĮĶ, ðĿĵ¬, à´´, áĮĶ, ðŁİij], [à°µ, à²Ł, à²Ł, ðĿĺIJ, á¶ı, âĶŀ, ðŁİij]]."
]
}
|
[[5,59],[124,90],[124,90],[124,90],[124,90]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, 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_75><DEPTH_69><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_84><DEPTH_101><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_9><DEPTH_74><DEPTH_74><DEPTH_9><DEPTH_9><DEPTH_101><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_8><DEPTH_74><DEPTH_28><DEPTH_74><DEPTH_56><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_28><DEPTH_32><DEPTH_69><DEPTH_25><DEPTH_9><DEPTH_69><DEPTH_69><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_8><DEPTH_69><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[124,90],[124,90],[124,90],[124,90],[124,90]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, ðĿĵ¬, âĺµ, â¡¢, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĿij³, âĺµ, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĸ¥, âĺµ, á¾Ķ, áĭ©, Ý¥], [áĮĦ, à²Ł, ï¥ł, âļ£, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ê²´, íĵ», á¶ı, áĮĦ, ðŁİij], [áĮĦ, à²Ł, áĮĶ, ðĿĵ¬, à´´, áĮĶ, ðŁİij], [à°µ, à²Ł, à²Ł, ðĿĺIJ, á¶ı, âĶŀ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. 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, à²Ł, ðĿĵ¬, âĺµ, â¡¢, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĿij³, âĺµ, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĸ¥, âĺµ, á¾Ķ, áĭ©, Ý¥], [áĮĦ, à²Ł, ï¥ł, âļ£, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ê²´, íĵ», á¶ı, áĮĦ, ðŁİij], [áĮĦ, à²Ł, áĮĶ, ðĿĵ¬, à´´, áĮĶ, ðŁİij], [à°µ, à²Ł, à²Ł, ðĿĺIJ, á¶ı, âĶŀ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij]]."
]
}
|
[[124,90],[124,90],[124,90],[124,90],[124,90]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, 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_75><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_8><DEPTH_74><DEPTH_74><DEPTH_9><DEPTH_9><DEPTH_101><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_30><DEPTH_74><DEPTH_28><DEPTH_74><DEPTH_56><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_101><DEPTH_116><DEPTH_69><DEPTH_28><DEPTH_32><DEPTH_69><DEPTH_25><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_125><DEPTH_8><DEPTH_69><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_8><DEPTH_69><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[124,90],[124,90],[123,90],[124,90],[124,90]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, ðĿij³, âĺµ, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĸ¥, âĺµ, á¾Ķ, áĭ©, Ý¥], [áĮĦ, à²Ł, ï¥ł, âļ£, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ê²´, íĵ», á¶ı, áĮĦ, ðŁİij], [áĮĦ, à²Ł, áĮĶ, ðĿĵ¬, à´´, áĮĶ, ðŁİij], [à°µ, à²Ł, à²Ł, ðĿĺIJ, á¶ı, âĶŀ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. 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, à²Ł, ðĿij³, âĺµ, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ðĸ¥, âĺµ, á¾Ķ, áĭ©, Ý¥], [áĮĦ, à²Ł, ï¥ł, âļ£, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ê²´, íĵ», á¶ı, áĮĦ, ðŁİij], [áĮĦ, à²Ł, áĮĶ, ðĿĵ¬, à´´, áĮĶ, ðŁİij], [à°µ, à²Ł, à²Ł, ðĿĺIJ, á¶ı, âĶŀ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij]]."
]
}
|
[[124,90],[124,90],[123,90],[124,90],[124,90]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, 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_75><DEPTH_69><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_69><DEPTH_74><DEPTH_74><DEPTH_9><DEPTH_9><DEPTH_101><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_8><DEPTH_74><DEPTH_28><DEPTH_74><DEPTH_56><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_56><DEPTH_116><DEPTH_69><DEPTH_28><DEPTH_32><DEPTH_69><DEPTH_25><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_125><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_8><DEPTH_69><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[124,90],[124,90],[123,90],[124,90],[124,90]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, ðĸ¥, âĺµ, á¾Ķ, áĭ©, Ý¥], [áĮĦ, à²Ł, ï¥ł, âļ£, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ê²´, íĵ», á¶ı, áĮĦ, ðŁİij], [áĮĦ, à²Ł, áĮĶ, ðĿĵ¬, à´´, áĮĶ, ðŁİij], [à°µ, à²Ł, à²Ł, ðĿĺIJ, á¶ı, âĶŀ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. 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, à²Ł, ðĸ¥, âĺµ, á¾Ķ, áĭ©, Ý¥], [áĮĦ, à²Ł, ï¥ł, âļ£, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ê²´, íĵ», á¶ı, áĮĦ, ðŁİij], [áĮĦ, à²Ł, áĮĶ, ðĿĵ¬, à´´, áĮĶ, ðŁİij], [à°µ, à²Ł, à²Ł, ðĿĺIJ, á¶ı, âĶŀ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij]]."
]
}
|
[[124,90],[124,90],[123,90],[124,90],[124,90]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, 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_75><DEPTH_9><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_116><DEPTH_74><DEPTH_74><DEPTH_9><DEPTH_9><DEPTH_101><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_9><DEPTH_74><DEPTH_28><DEPTH_74><DEPTH_56><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_28><DEPTH_32><DEPTH_69><DEPTH_25><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_30><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_8><DEPTH_69><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[124,90],[123,90],[124,90],[124,90],[124,90]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, ï¥ł, âļ£, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ê²´, íĵ», á¶ı, áĮĦ, ðŁİij], [áĮĦ, à²Ł, áĮĶ, ðĿĵ¬, à´´, áĮĶ, ðŁİij], [à°µ, à²Ł, à²Ł, ðĿĺIJ, á¶ı, âĶŀ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. 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, à²Ł, ï¥ł, âļ£, á¿IJ, áĭ©, Ý¥], [áĮĦ, à²Ł, ê²´, íĵ», á¶ı, áĮĦ, ðŁİij], [áĮĦ, à²Ł, áĮĶ, ðĿĵ¬, à´´, áĮĶ, ðŁİij], [à°µ, à²Ł, à²Ł, ðĿĺIJ, á¶ı, âĶŀ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij]]."
]
}
|
[[124,90],[123,90],[124,90],[124,90],[124,90]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, 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_75><DEPTH_9><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_25><DEPTH_25><DEPTH_55><DEPTH_116><DEPTH_74><DEPTH_74><DEPTH_9><DEPTH_9><DEPTH_101><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_56><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_28><DEPTH_32><DEPTH_69><DEPTH_25><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_30><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_8><DEPTH_69><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[123,90],[124,90],[124,90],[124,90]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, ê²´, íĵ», á¶ı, áĮĦ, ðŁİij], [áĮĦ, à²Ł, áĮĶ, ðĿĵ¬, à´´, áĮĶ, ðŁİij], [à°µ, à²Ł, à²Ł, ðĿĺIJ, á¶ı, âĶŀ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. 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, à²Ł, ê²´, íĵ», á¶ı, áĮĦ, ðŁİij], [áĮĦ, à²Ł, áĮĶ, ðĿĵ¬, à´´, áĮĶ, ðŁİij], [à°µ, à²Ł, à²Ł, ðĿĺIJ, á¶ı, âĶŀ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij]]."
]
}
|
[[123,90],[124,90],[124,90],[124,90]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, 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_75><DEPTH_69><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_84><DEPTH_101><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_125><DEPTH_74><DEPTH_74><DEPTH_9><DEPTH_9><DEPTH_101><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_125><DEPTH_74><DEPTH_28><DEPTH_74><DEPTH_56><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_101><DEPTH_116><DEPTH_69><DEPTH_28><DEPTH_32><DEPTH_69><DEPTH_25><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_69><DEPTH_8><DEPTH_9><DEPTH_9><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_8><DEPTH_69><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[124,90],[124,90],[124,90]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, áĮĶ, ðĿĵ¬, à´´, áĮĶ, ðŁİij], [à°µ, à²Ł, à²Ł, ðĿĺIJ, á¶ı, âĶŀ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. 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, à²Ł, áĮĶ, ðĿĵ¬, à´´, áĮĶ, ðŁİij], [à°µ, à²Ł, à²Ł, ðĿĺIJ, á¶ı, âĶŀ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij]]."
]
}
|
[[124,90],[124,90],[124,90]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, 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_101><DEPTH_9><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_84><DEPTH_101><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_74><DEPTH_74><DEPTH_9><DEPTH_9><DEPTH_101><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_56><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_28><DEPTH_32><DEPTH_69><DEPTH_25><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_8><DEPTH_69><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[124,90],[124,90]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[à°µ, à²Ł, à²Ł, ðĿĺIJ, á¶ı, âĶŀ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. 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 [[à°µ, à²Ł, à²Ł, ðĿĺIJ, á¶ı, âĶŀ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij]]."
]
}
|
[[124,90],[124,90]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, 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_25><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_84><DEPTH_101><DEPTH_25><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_9><DEPTH_9><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_56><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_28><DEPTH_32><DEPTH_69><DEPTH_25><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_69><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_8><DEPTH_69><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[124,90]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. 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 [[Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij], [Ȳ, à²Ł, ðĿļģ, ðĿĺı, ìľ¾, ìĨĬ, ðŁİij]]."
]
}
|
[[124,90]]
|
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