CommentsDuring the final evaluation on the DBpedia- and Corporate-based KGQA benchmarks within the Text2SPARQL challenge 2025, our approach took first place among the other participants
Commentsv3 is the AAAI'24 camera ready version, which polished abstract and introduction based on the reviewers' comments, and enriched related works. 7 pages of main content, 2 pages of references, 2 figures and 1 table
Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning
Pablo G. Morato, Charalampos P. Andriotis, Konstantinos G. Papakonstantinou, Philippe Rigo
Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses
具身人工智能的安全性：风险、攻击与防御综述
Xiao Li, Xiang Zheng, Yifeng Gao, Xinyu Xia, Yixu Wang, Xin Wang, Ye Sun, Yunhan Zhao, Ming Wen, Jiayu Li, Zixing Chen, Xun Gong, Yi Liu, Yige Li, Yutao Wu, Cong Wang, Jun Sun, Yixin Cao, Zhineng Chen, Jingjing Chen, Tao Gui, Qi Zhang, Zuxuan Wu, Xipeng Qiu, Xuanjing Huang, Tiehua Zhang, Zhipeng Wei, Kun Wang, Xinfeng Li, Hanxun Huang, Sarah Erfani, James Bailey, Jianping Wang, Chaowei Xiao, Ran He, Bo Li, Xingjun Ma, Yu-Gang Jiang
机构
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Fudan University（复旦大学）
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Shanghai Innovation Institute（上海创新研究院）
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City University of Hong Kong（香港城市大学）
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Jilin University（吉林大学）
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Singapore Management University（新加坡管理大学）
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Deakin University（德肯大学）
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Tongji University（同济大学）
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Nanyang Technological University（南洋理工大学）
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Chinese Academy of Sciences（中国科学院）
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The University of Melbourne（墨尔本大学）
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Johns Hopkins University（约翰霍普金斯大学）
CommentsSurvey paper; 75 pages, 4 figures, 18 tables; v2 expands embodied-specific coverage of agentic threats, World Action Model threats, and contextual risk mitigation, with over 100 new references added. Project page: https://x-zheng16.github.io/Awesome-Embodied-AI-Safety/
