Reliability and Safety Control of Robots 机器人可靠性和安全控制

Introduction:

In recent years, the robot technology has gained significant attentions in fields such as intelligent manufacturing, aerospace, and smart transportation. Compared to traditional human working, the use of robots improves work efficiency, enhances working environments, increases product quality, and boosts economic benefits, making it a key driver for the intelligent transformation of related industries. However, in practical applications, robots may face various potential failures, including mechanical wear from long-term operation, hardware degradation caused by extreme environments (e.g., high temperature, humidity, and strong electromagnetic interference), and data transmission interruptions due to communication link anomalies. These issues can lead to reduce measurement accuracy, deteriorate control stability, and even cascade failures, severely limiting the reliability and safety of robot systems. Therefore, research on robot reliability and safety control holds significant theoretical and practical values, enriching the theoretical framework of robot technology and advancing its large-scale applications. This special topic welcomes original theoretical research and emerging applications, including but not limited to:

1. Fault modeling and analysis
2. Fault diagnosis and real-time monitoring
3. Distributed cooperative fault-tolerant control
4. Predictive maintenance and health management
5. Safe cooperative control of swarm robots

近年来，机器人技术在智能制造、航空航天、智能交通等领域备受关注。与传统的人工作业相比，机器人的使用可以提高工作效率、改善工作环境、提高产品质量、提升经济效益，成为相关行业智能化转型的重要推动力。然而，在实际应用中，机器人可能会面临各种潜在故障，包括长期运行造成的机械磨损、极端环境（如高温、高湿和强电磁干扰）导致的硬件退化以及通信链路异常造成的数据传输中断。这些问题都会导致测量精度降低、控制稳定性下降，甚至出现级联故障，严重制约机器人系统的可靠性和安全性。因此，机器人可靠性和安全控制研究具有重要的理论和实践价值，既能丰富机器人技术的理论框架，又能推动机器人技术的大规模应用。本专题欢迎原创性理论研究和新兴应用，包括但不限于以下方面：
故障建模与分析
故障诊断与实时监控
分布式协同容错控制
预测性维护和健康管理
集群机器人的安全协同控制

Organizers:

	Tao Xie, Shanghai University, China Tao Xie, Associate Professor of Shanghai University, was funded by ISblue Laboratory, France, to carry out the Doctant Mobility project in June 2021, and joined the Department of Automation of Shanghai Jiao Tong University in October 2022 for postdoctoral research, and has been appointed as Assistant Researcher of Shanghai Jiao Tong University since January 2023, and joined the Department of Automation of Shanghai University in November 2024, and has been a member of the Provincial Talent Program. He has been selected for provincial and ministerial level talent projects. He has published and accepted more than 30 papers in IEEE journals, and has granted and accepted more than 10 national invention patents. His research interests include control theory, machine learning theory, and their applications in power generation systems.
	Ying Li, Shanghai Jiao Tong University, China Ying Li received the Ph.D. degree in control theory and control engineering from Xiamen University, Xiamen, China, in 2022. She is currently a postdoctoral researcher and an assistant researcher in the Department of Automation at Shanghai Jiao Tong University, Shanghai, China. Her research interests include networked control systems, security and safety control. She has published over 10 papers in international journals and conferences. She has led a project of Natural Science Foundation of Shanghai. She has also served as a reviewer for international journals and conferences such as IEEE T-CYB and IEEE TCNS.
	Jin Ke, Shanghai Jiao Tong University, China Jin Ke received the B.E. degree in Automation from Fuzhou University, Fuzhou, China, in 2017, and the Ph.D. degree in Control Science and Engineering from Xiamen University, Xiamen, China, in 2022. She is currently a postdoctoral researcher and an assistant researcher in the Department of Automation at Shanghai Jiao Tong University, Shanghai, China. Her research interests include distributed control and safety control. She has published over 10 papers in international journals and conferences. She has also led a project of China Postdoctoral Science Foundation.

Submission Guideline:

Please submit your manuscript via Online Submission System: https://easychair.org/conferences/?conf=rcae2025
Please choose Special Session: Reliability and Safety Control of Robots