Datasets:
792 episodes · 30 fps · 2 cameras · 256×256 av1
so101_pick_place_batch2
MuJoCo pick-and-place demonstrations for the SO-101 arm, generated by a scripted inverse-kinematics controller. Second batch of the early simulation generation.
792 episodes recorded with per-episode environment randomisation — cube colour, arm colour, floor appearance and scene lighting all vary across episodes, so the set covers a wide range of visual conditions for the same task.
| Episodes | 792 |
| Frames | 110,880 (140 per episode) |
| fps | 30 |
| Format | LeRobot v3.0 |
| Cameras | observation.images.front, observation.images.wrist |
| State / action | 6-D (5 arm joints + gripper) |
| Randomised | cube colour, arm colour, floor, lighting |
Status
Superseded. Kept public because other work may depend on it. Newer fine-tuning runs use
so101_pick_place_v3_structured.
Limitations
- Camera viewpoint. The
frontstream is a side view of the workspace, not the overhead/front-facing framing SmolVLA was pretrained on and that its fine-tuning recipes assume. This is the main reason the set was superseded: later recordings use a top-down camera atpos="0.20 0.0 0.6". Expect a viewpoint mismatch if you fine-tune a VLA on this data directly.
Nour El Houda El Iamani — College of Computing, Mohammed VI Polytechnic University (UM6P).
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