Hazard-Informed Safety Envelopes for Urban Robotic Systems
A novel framework aimed at enhancing safety in urban robotic systems has been introduced in a paper on arXiv. Titled 'Ensuring Safe Physical AI in Urban Mobility via Hazard-Informed Synthesized Envelopes,' this work presents a cohesive method that combines systematic hazard analysis with runtime enforcement through hazard-informed safety envelopes. The authors contend that safety should be viewed as a dynamic transformation process rather than a fixed constraint limited to specific software components. This representation is intended to connect with physical AI runtime systems to ensure secure urban mobility. The paper, categorized under Computer Science > Robotics, also includes submission history, references, and tools for citation via Semantic Scholar, addressing the complexities of human-robot interactions in various urban environments.
Key facts
- Paper titled 'Ensuring Safe Physical AI in Urban Mobility via Hazard-Informed Synthesized Envelopes' published on arXiv.
- Introduces a unified framework for safety in urban robotic systems.
- Combines systematic hazard analysis with runtime enforcement using hazard-informed safety envelopes.
- Proposes a cross-layer safety transformation process spanning symbolic, spatial, and dynamic world models.
- Designed to interface with physical AI runtime harnesses.
- Aims to guarantee safe urban mobility for heterogeneous robotic systems.
- Categorized under Computer Science > Robotics.
- Available at https://arxiv.org/abs/2608.14481.
Entities
Institutions
- arXiv
- Semantic Scholar