AI RESEARCH
Silent Failures in Physical AI: A Literature Review of Runtime Action Authorization for Autonomous Systems
arXiv CS.AI
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ArXi:2606.00090v1 Announce Type: cross Physical AI systems increasingly map multimodal observations, language instructions, and learned world representations into physically consequential actions. Robotics foundation models, vision-language-action models, and world-model-based autonomous systems can condition decisions that move vehicles, robots, drones, and industrial machines.