CLARU
apaszynskaapache-2.0

merged-dataset-regrasp-200

Dataset for RECAP (RL with Experience and Corrections via Advantage-conditioned Policies) training containing 101 episodes of robot manipulation data with human intervention annotations.

Downloads30
Episodes101

Why This Matters for Physical AI

This dataset supports research in learning from human interventions and corrections, enabling reinforcement learning algorithms to leverage both autonomous policy execution and human teleoperation to improve robotic manipulation capabilities.

Technical Profile

Modalities
rgbproprioception
Robot Embodiments
bi_dk1_follower
Action Space
joint_positions
Environment
lab
Task Types
manipulationgrasping
Episodes
101
Data Format
LeRobot
Annotation Types
reward_labelsaction_labels
License
apache-2.0
Part of the merged-dataset-regrasp-200 family

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