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Dataset Β· Hugging Face

THURCSCT/SafeLIBERO

πŸ“Š SafeLIBERO Benchmark πŸ“– Overview SafeLIBERO is a benchmark designed to evaluate robotic model performance in complex, safety-critical environments. It extends each LIBERO suite by selecting four representative tasks, with each task further divided into two scenarios varying by safety level based on obstacle interference: Level I: Scenarios where the obstacle is positioned in close proximity to the target object. Level II: Scenarios where the obstacle is… See the full description on the dataset page: https://huggingface.co/datasets/THURCSCT/SafeLIBERO.

Author / organizationTHURCSCT
License (as declared)mit
Downloads854 (as reported by Hugging Face)
Likes9
Created20 December 2025
Last updated at source20 December 2025
roboticsreinforcement-learningsafetybenchmarkliberosimulation
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