发表机构
Xortech DOO（Xortech DOO）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对异构机器人城市部署的安全挑战，提出结合危险分析与运行时执行的统一框架，通过跨层安全转换保障物理AI的城市移动安全。
AI 中文摘要
随着异构机器人系统在不同城市区域部署，在复杂人机交互中维持安全仍是关键挑战。我们提出一种统一框架，将系统危险分析与基于危险信息的安全包络的运行时执行相结合，而非将安全视为单个软件模块内孤立的静态约束，引入跨越符号、空间和动态世界模型的跨层安全转换过程，展示该表示如何自然与物理AI运行时控制接口对接，以保障城市移动安全。
英文摘要
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.
CommentsThe 2026 International Conference on Control, Robotics Engineering and Technology (CRET 2026), https://www.cret.net/
