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LIBERO
Lifelong robot learning benchmark
UT Austin RobIn Lab
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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.
Reported structure
Values below come from the dataset's own documentation. Missing fields are shown as not provided rather than estimated.
2 cameras
7 DoF
20 Hz
Not provided
Data modalities
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