LeWAMapache-2.0
LeWAM Eval PNPT LeWAM
Real-robot evaluation rollouts of a LeWAM self-supervised policy on a Rebot B601 7-DoF arm performing pick-and-place tasks with a 53.3% success rate across 30 episodes.
Downloads30
Episodes30
Hours0.145
Why This Matters for Physical AI
This dataset provides real-world policy evaluation data demonstrating a self-supervised learning approach for robotic manipulation, enabling benchmarking and analysis of learning-based control on physical hardware.
Technical Profile
- Modalities
- rgbproprioception
- Robot Embodiments
- Rebot B601
- Action Space
- joint_positions
- Environment
- lab
- Task Types
- pick_and_place
- Episodes
- 30
- Total Hours
- 0.145
- Data Format
- LeRobot
- Annotation Types
- reward_labels
- License
- apache-2.0
Access
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