arXiv AI By Yapeng Liu, Yuanzhao Zhai, Xudong Gong, Dawei Feng, Bo Ding, Lin Wang, Huaimin Wang

Resilience Matters for Embodied Agents System: New Metrics, Systematic Evaluation, and Optimization

Read the original on arXiv AI →

The paper introduces a new resilience evaluation framework for Embodied Agents Systems (EAS), defining metrics for Rebound, Stability, and Graceful Extensibility. It demonstrates that traditional outcome-centric metrics obscure dynamic behaviors, while the proposed metrics reveal process-level distinctions such as recovery costs and instability across 400 household tasks with 10 EAS. Optimizing with these metrics reduces recovery costs and improves stability and extensibility, highlighting a trade‑off among resilience characteristics that should guide deployment-specific system design.

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arXiv AI
Jul 31

Towards Trustworthy Embodied Intelligence: A Systems Framework and Graded Trustworthiness Levels

arXiv:2607. 26121v1 Announce Type: cross Abstract: Embodied intelligence integrates learned perception and decision making with real-time computation, control, and physical interaction.

By Xinyu Yang, Tianxing Chen, Honghao Su, Minxuan Wang, Chenze Yu, Zhangzheng Tu, Yue Chen, Yuxiao Huo, Lingfeng Zhang, Yan Huang, Yan Qin, Shaolong Zhu, Qiwei Liang, Hekun Tian, Shujia Liu, Guangyu Chen, Junhao Gong, Zixuan Li, Wenwei Lin, Zijian Lin, Wenxuan Zhu, Eric J Chen, Yue Yuan, Qize Yu, Jiaqi Liang, Haowen Yan, Hengfei Zhao, Weijie Wan, Zikun Xiao, Junyuan Tang, Baijun Chen, Kai-Chong Lei, Kaixuan Wang, Kailun Su, Zanxin Chen, Yao Mu, Renjing Xu, Chuqiao Lyu, Qi Xiong, Ping Luo, Wenbo Ding