Ensuring Safe Physical AI in Urban Mobility via Hazard-Informed Synthesized Envelopes
Alexei Odinokov, Rostislav Yavorskiy
cs.RO cs.AI
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.
Topics
Classified with taxonomy v2 on Sat, 5 Sept 2026.