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LIBERO

Lifelong robot learning benchmark

Indexed from an external sourceSimulationUpdated 2023-06-06Open Source

Published by

UT Austin RobIn Lab

RobotData indexes this dataset's metadata. Attribution and licensing stay with the original publisher.

130 language-conditioned tasks in four suites (Spatial, Object, Goal, Long) with 50 human demonstrations each, built to isolate distribution shifts in space, objects, goals and horizon. Now the default sim benchmark for VLA fine-tuning.

Indexed episode structure

Per-episode numbers RobotData has indexed locally (camera count, DoF, control rate, success rate). "Not indexed yet" means we have not recorded that number — it does not mean the publisher's data lacks observations, state or actions. See the source-backed profile above for what the publisher documents.

Observation

2 cameras

State

7 DoF

Action

20 Hz

Result

Not indexed yet

Data modalities

● RGB Video○ Depth● Joint Positions● Robot State● Actions○ Force/Torque○ Audio● Language Instructions

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