CLARU
THURCSCT2025MIT

SafeLIBERO

A benchmark designed to evaluate robotic model performance in complex, safety-critical environments by extending LIBERO tasks with obstacle-based safety scenarios at two intervention levels.

Downloads216
Episodes1600
Likes7

Why This Matters for Physical AI

SafeLIBERO provides a safety-focused benchmark for evaluating robotic manipulation in realistic scenarios with obstacles, addressing the critical challenge of collision avoidance in embodied AI systems.

Technical Profile

Modalities
rgbproprioception
Robot Embodiments
Fetch
Environment
simulationkitchen
Task Types
manipulationpick_and_placegrasping
Episodes
1600
Annotation Types
language_instructionsreward_labels
License
MIT
Part of the LIBERO family

Community Signals

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