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Tri-Info: Generalizable, Interpretable Failure Prediction for VLA Models via Information Theory

Yang, Jinghan et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionmachine-learningrobotics
Vision-Language-Action (VLA) models are increasingly deployed across diverse tasks, yet they remain black boxes whose physical interactions can cause irreversible harm, making generalizable and interpretable failure detection essential. We observe that successful and failed rollouts carry systematic
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