Silent Failures in Physical AI: A Literature Review of Runtime Action Authorization for Autonomous Systems 事件

Silent Failures in Physical AI: A Literature Review of Runtime Action Authorization for Autonomous Systems arXiv:2606.00090v1 Announce Type: cross Abstract: 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.