CLARU
DAVIAN-Robotics2024apache-2.0

RoboLab-BananaInBowl-hard-base-det-260802

RL rollouts from a RoboLab (Isaac Lab) BananaInBowl policy under hard initial-pose distribution, exported for pi0.5 delta-action SFT. Contains only successful episodes collected with a deterministic policy.

Downloads21
Episodes5950

Why This Matters for Physical AI

This dataset provides high-quality RL rollouts with standardized recording conventions and quantile normalization statistics, enabling controlled policy learning and comparison for manipulation tasks in simulation.

Technical Profile

Modalities
rgbproprioception
Robot Embodiments
unknown
Action Space
joint_positions
Environment
simulation
Task Types
manipulationpick_and_place
Episodes
5950
Data Format
LeRobot
Annotation Types
reward_labels
License
apache-2.0
Part of the RoboLab family

Access

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