Rethinking Robot Safety: Cybersecurity Risks for Physical AI
IEEE Spectrum reports that modern robots combining multimodal sensors and AI are vulnerable to attacks that manipulate perception, models, or system components without obvious failures. The article outlines layered risks—poisoned training data, system and middleware exploits, and runtime input attacks—and recommends lifecycle-focused cybersecurity testing and monitoring (VicOne examples cited).