powerOCTOBER 24, 2026 • 14:30 CET
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- This article is brought to you by VicOne.Robot safety has traditionally asked: Can a machine remain safe when something goes wrong? Physical AI raises a harder question: Can a machine remain safe when an attacker changes what it sees, decides, or does even when nothing appears to have failed?As AI and robotics continue to advance at an unprecedented pace, modern robots perceive through multimodal sensors, interpret context using AI models, and translate those interpretations into physical action
Rethinking Robot Safety in the Age of AI
Original media associated with the source publication: Rethinking Robot Safety in the Age of AI.
Credit: IEEE Spectrum Computing RSS Feed — verify reuse rights at the original source
Media rights belong to the original publisher; see source link for reuse terms.
This article is brought to you by VicOne.Robot safety has traditionally asked: Can a machine remain safe when something goes wrong? Physical AI raises a harder question: Can a machine remain safe when an attacker changes what it sees, decides, or does even when nothing appears to have failed?As AI and robotics continue to advance at an unprecedented pace, modern robots perceive through multimodal sensors, interpret context using AI models, and translate those interpretations into physical action
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Original media associated with the source publication: Rethinking Robot Safety in the Age of AI.Attribution: IEEE Spectrum Computing RSS Feed — verify reuse rights at the original source
IEEE Spectrum Computing RSS FeedIEEE Spectrum Computing RSS Feed — verify reuse rights at the original source
