Data & Benchmarks

LIBERO

LIBERO is a simulation benchmark for lifelong robot learning in manipulation, introduced in 2023, comprising 130 language-conditioned tabletop tasks built on the Robosuite/MuJoCo stack. Its task suites, including LIBERO-Spatial, LIBERO-Object, LIBERO-Goal, and LIBERO-100, isolate different axes of knowledge transfer such as spatial relations, object categories, and task goals. It ships with human demonstration datasets and is widely used to evaluate vision-language-action models and continual learning methods.

Why it matters for physical AI

Standardized multi-task suites give the field comparable numbers for how well policies transfer and how badly they forget, making benchmarks like this a common yardstick for new manipulation foundation models.