Jingjing Chen
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This survey provides a comprehensive, structured review of safety research in Embodied AI, analyzing attacks and defenses across the entire embodied pipeline to guide the development of safe, robust, and reliable real-world agents.
The paper introduces RoboTrustBench, a comprehensive benchmark that evaluates the trustworthiness of video world models for robotic manipulation across challenging scenarios, finding that current models fail in complex reasoning and safety checks.
Papers
RoboTrustBench: Benchmarking the Trustworthiness of Video World Models for Robotic Manipulation
Huiqiong Li, Jiayu Wang, Zhiting Mei, Anirudha Majumdar +2 more
The paper introduces RoboTrustBench, a comprehensive benchmark that evaluates the trustworthiness of video world models for robotic manipulation across challenging scenarios, finding that current mode…