iris-kaistother

rollout_rigit_peg_acp_p_eval

Rollout dataset from the acp_p evaluation cell of the rigit-peg ACT teleoperation comparison, containing 25 attempts of peg insertion tasks recorded on a Franka FR3 robot with closed-loop policy execution at 10.0 Hz.

Downloads26
Episodes25

Why This Matters for Physical AI

This dataset provides empirical evaluation data for learning-based control policies on precise manipulation tasks, demonstrating policy performance on peg insertion with force feedback in closed-loop execution.

Technical Profile

Modalities
rgbproprioceptionforce_torque
Robot Embodiments
Franka FR3
Action Space
end_effector_delta
Environment
lab
Task Types
peg_insertionmanipulation
Episodes
25
Data Format
LeRobot
Annotation Types
action_labelsreward_labels
License
other
Part of the rigit-peg ACT teleoperation comparison family

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