About this dataset (SO-101 cube stacking project, sim-to-real, 2026-10)
296 simulated episodes (150,130 frames, 30 Hz) generated automatically in a MuJoCo model of the SO-101 whose dynamics (command delay 3 frames, per-joint gains), cube contact, cameras (top intrinsics/homography, wrist hand-eye) and appearance were fitted to the real robot by measurement. An inverse-kinematics planner produced the demonstrations following the statistics of real human demonstrations (approach direction, speed, episode length ≈ 16 s); placements are half real-distribution, half full reach; lighting, colour, size and camera pose are randomized. Stiff cube contact and pan/roll gains 16 (the "v2" conditions). Single task: "Pick up the orange cube and place it on top of the red cube". No human demonstration was used.
Policy trained on it: moonbeards/smolvla_sim_stack_v2 (checkpoint 10k → real SO-101 2/10 without any real data). Full project, simulator code and analysis: GitHub repository https://github.com/GGOMOONG/so101-cube-stacking. Author: moonbeards.
This dataset was created using LeRobot.
Dataset Structure
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"total_episodes": 296,
"total_frames": 150130,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
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"robot_type": "so_follower",
"splits": {
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}
}
Citation
BibTeX:
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