**摘要**
Autonomous robots that interact with people must make safe and efficient decisions under human-induced uncertainty, such as their preferences, goals, competency, and willingness to cooperate. Safety filters are a popular approach for ensuring safety in interactive robotics, since their modular design separates safety from performance, allowing robots to operate safely around people with minimal im
👤 作者: Haimin Hu

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🔗 **[通过可信推断获得许可安全：用于有保证的交互式机器人的可验证信念空间神经安全过滤器](https://arxiv.org/abs/2606.02562v1)**

> Permissive Safety Through Trusted Inference: Verifiable Belief-Space Neural Safety Filters for Assured Interactive Robotics
🏷️ 来源: ArXiv cs.AI
⏱️ 2026-06-02 14:01