CLARU
LeWAMapache-2.0

LeWAM Evaluation Pick-and-Place Diffusion Wide

Real-robot evaluation rollouts of a diffusion policy performing pick-and-place tasks on a Rebot B601 7-DoF arm, with 30 episodes achieving 63.3% success rate.

Downloads48
Episodes30
Hours0.097

Why This Matters for Physical AI

This dataset provides real-world policy rollout data with human-annotated success labels, enabling evaluation of diffusion-based manipulation policies 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
0.097
Data Format
LeRobot
Annotation Types
reward_labels
License
apache-2.0
Part of the LeWAM family

Access

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