d3d3shan2026MIT
pi0.5 LIBERO-plus Perturbation Summary
Summary report for six completed LIBERO-plus perturbation evaluations of the TensorAuto/tPi0.5-libero model, including success rates and analysis across different perturbation conditions.
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Why This Matters for Physical AI
This dataset provides evaluation results and robustness analysis of a robotic policy under various perturbation conditions, contributing to understanding of generalization and perturbation resilience in learned robotic behaviors.
Technical Profile
- Annotation Types
- reward_labels
- License
- MIT
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