AI RESEARCH
Hide-and-Seek in Trajectories: Discovering Failure Signals for VLA Runtime Monitoring
arXiv CS.AI
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ArXi:2605.30834v1 Announce Type: cross Vision-Language-Action (VLA) models enable robots to follow natural language instructions and generalize across diverse tasks, but they remain vulnerable to execution failures that compromise reliability in real-world deployment. Detecting such failures during execution is therefore critical for the robust deployment of embodied systems.