stray-lightcc-by-4.0
Zero-Gravity Manipulation Trajectories (State-Only, v1)
Fourth collection round of state-only manipulation trajectories on the DROID rig with fixed recorded-action bug, hold-segment trimming, and corrected QA filtering across four tasks (PushCube, LiftPeg, PickCube, PickSingleYCB). Each task contains ~1000 episodes collected with PPO reinforcement learning in simulation.
Downloads0
Episodes4000
Why This Matters for Physical AI
This dataset provides carefully QA-filtered, state-based manipulation trajectories from zero-gravity simulation environments with precise action-observation correspondence, enabling training of robust grasping and manipulation policies with verified success conditions.
Technical Profile
- Modalities
- proprioceptionstate
- Robot Embodiments
- DROID
- Action Space
- hybrid_impedance_delta
- Environment
- simulation
- Task Types
- manipulationpushingliftingpickinggrasping
- Episodes
- 4000
- Data Format
- LeRobot
- Annotation Types
- reward_labelsaction_labels
- License
- cc-by-4.0
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