LBST/t13_pick_and_place_and_pull_smolvla
Robotics
•
Updated
•
1
action
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57.223426818847656,
-4.090194225311279,
1.2307692766189575
] |
[
-1.3503376245498657,
-91.71597290039062,
86.82205200195312,
57.022708892822266,
-4.329681873321533,
2.2126612663269043
] | 3.066667
| 92
| 0
| 92
| 0
|
[
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-69.58174896240234,
69.02934265136719,
57.48373031616211,
-4.090194225311279,
1.2307692766189575
] |
[
-1.2753188610076904,
-89.51817321777344,
85.56700897216797,
57.022708892822266,
-4.277516841888428,
2.2126612663269043
] | 3.1
| 93
| 0
| 93
| 0
|
[
-1.388304591178894,
-64.08956146240234,
65.41761016845703,
58.004337310791016,
-4.090194225311279,
1.307692289352417
] |
[
-1.3503376245498657,
-86.89772033691406,
83.77409362792969,
57.1068115234375,
-4.277516841888428,
2.2126612663269043
] | 3.133333
| 94
| 0
| 94
| 0
|
[
-1.388304591178894,
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61.53498840332031,
58.87201690673828,
-4.090194225311279,
1.307692289352417
] |
[
-1.3503376245498657,
-82.92476654052734,
80.36754608154297,
57.19091796875,
-4.277516841888428,
2.2126612663269043
] | 3.166667
| 95
| 0
| 95
| 0
|
[
-1.3041648864746094,
-52.00675964355469,
56.74943542480469,
60.34707260131836,
-4.090194225311279,
1.307692289352417
] |
[
-1.3503376245498657,
-78.95182037353516,
76.6024169921875,
57.44322967529297,
-4.277516841888428,
2.2126612663269043
] | 3.2
| 96
| 0
| 96
| 0
|
[
-1.3041648864746094,
-46.59907150268555,
52.95711135864258,
62.082427978515625,
-4.090194225311279,
1.307692289352417
] |
[
-1.3503376245498657,
-73.20372009277344,
72.47870635986328,
57.86375045776367,
-4.277516841888428,
2.2126612663269043
] | 3.233333
| 97
| 0
| 97
| 0
|
[
-1.3041648864746094,
-41.7828483581543,
49.52595901489258,
64.07809448242188,
-4.142632484436035,
1.307692289352417
] |
[
-1.3503376245498657,
-67.96280670166016,
68.89287567138672,
58.45248031616211,
-4.277516841888428,
2.2126612663269043
] | 3.266667
| 98
| 0
| 98
| 0
|
[
-1.3041648864746094,
-37.135616302490234,
45.914222717285156,
66.0737533569336,
-4.142632484436035,
1.307692289352417
] |
[
-1.425356388092041,
-62.13017654418945,
65.12774658203125,
59.46173095703125,
-4.277516841888428,
2.2126612663269043
] | 3.3
| 99
| 0
| 99
| 0
|
This dataset was generated using phosphobot.
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot.
To get started in robotics, get your own phospho starter pack..