Ensuring Safe Physical AI in Urban Mobility via Hazard-Informed Synthesized Envelopes

• URL: http://arxiv.org/abs/2608.14481v1
• Date: Fri, 14 Aug 2026 16:57:54 GMT
• Title: Ensuring Safe Physical AI in Urban Mobility via Hazard-Informed Synthesized Envelopes
• Abstract summary: We present a unified framework that bridges systematic hazard analysis and runtime enforcement using hazard-informed safety envelopes.<n>We show how this representation naturally interfaces with physical AI runtime harnesses to guarantee safe urban mobility.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: As heterogeneous robotic systems deploy across diverse urban zones, maintaining safety amid complex human-robot interactions remains a critical challenge. We present a unified framework that bridges systematic hazard analysis and runtime enforcement using hazard-informed safety envelopes. Rather than treating safety as a static constraint isolated within individual software modules, we introduce a cross-layer safety transformation process spanning symbolic, spatial, and dynamic world models. We show how this representation naturally interfaces with physical AI runtime harnesses to guarantee safe urban mobility.

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