Reliability, Safety and Cooperative Control of Intelligent Robots

Introduction: With the rapid advancement of robotics in complex environments such as intelligent manufacturing, autonomous transportation, and aerospace, the demand for both high-performance control and rigorous safety assurance has become paramount. Traditional control methods often struggle to cope with system nonlinearities, communication constraints, and potential hardware/software anomalies. Recent progress in intelligent control, networked systems, and distributed coordination offers new paradigms to enhance robot autonomy while guaranteeing operational safety. This special session focuses on the integration of learning-based and model-based control strategies with fault-tolerant and safety-critical mechanisms. It aims to discuss frontier theories, technical methods and engineering applications. It promotes the breakthrough of key technologies for safe and reliable operation of robots, and provides theoretical support and practical solutions for the large-scale application of intelligent robot systems. Topics of interest include, but are not limited to:

1. Fault modeling, analysis and real-time monitoring
2. Fault diagnosis and fault-tolerant control of robotic systems
3. Nonlinear control, networked control for robot safety
4. Distributed coordination and cooperative safety control
5. Automation system and intelligent control technology for robots
6. Predictive maintenance and health management

 

Organizers:

	Tao Xie, Shanghai University, China Tao Xie was born in China, in 1993. He is currently an Associate Professor at the Department of Automation, Shanghai University, where he joined in November 2024. He served as an Assistant Researcher at Shanghai Jiao Tong University (SJTU) starting in January 2023, following his postdoctoral research at SJTU's Department of Automation from October 2022. He was awarded the Doctant Mobility Fellowship by the French ISblue Laboratory in June 2021, conducting international collaborative research. Dr. Xie has been recognized as a recipient of provincial-level talent programs and has led multiple research projects, including the National Natural Science Foundation of China (Youth Program C), China Postdoctoral Science Foundation Grant, and international cooperation initiatives. He has authored or co-authored over 50 peer-reviewed publications, and holds more than 20 granted or pending national invention patents. He is currently a Junior Editorial Board Member for the Intelligence & Robotics and for the Robot Learning. His research focuses on automation systems and intelligent control technologies.
	Yang Li, Hangzhou International Innovation Institute, Beihang University, China Yang Li, Ph.D. in Engineering, is an Associate Professor and Master’s Supervisor at the Hangzhou International Innovation Institute, Beihang University. He is also a joint Ph.D. candidate at Polimi and Nuaa, and a postdoctoral researcher at Shanghai University. He was selected for the Shanghai “Super Postdoctoral” Incentive Program. He has led projects including the National Natural Science Foundation of China (NSFC) Youth Project and a China Postdoctoral Science Foundation General Project. He has published over 40 academic papers. He has also co-authored one monograph and applied for or been granted five invention patents. He has received several academic awards, including the 2024 Shanghai Automation Society Best Paper Award and the IEEE TIM Outstanding Reviewer Award. He currently serves as a Youth Editorial Board Member for Artificial Intelligence and Autonomous Systems, Intelligence & Robotics, and Instrumentation. He has also served as session chair for several international conferences, including IEEE ICPS, QR2MSE, and RCAE, and is a frequent reviewer for leading journals such as IEEE TSMC, IEEE TNNLS, IEEE TIM, and IEEE TII. His major research areas include fault diagnosis and prognostics, design of testability and health management, multimodal large models and belief reliability.
	Ying Li, Xiamen University of Technology, China Ying Li received the M.Sc. degree in pattern recognition and intelligent system from the Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China, in 2018, and the Ph.D. degree in control theory and control engineering from the School of Aerospace Engineering, Xiamen University, Xiamen, China, in 2022. From 2022 to 2025, she was a Post-Doctoral Researcher with Shanghai Jiao Tong University, Shanghai, China. She is currently a Lecturer with the School of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen. Her research interests mainly include nonlinear control systems, networked control systems, and safety control. She has published over 20 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-SMCA, IEEE T-CYB and IEEE TCNS.
	Jin Ke, Fuzhou 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. From 2022 to 2025, she was a Post-Doctoral Researcher with Shanghai Jiao Tong University, Shanghai, China. She is currently a Lecturer with the College of Electrical Engineering and Automation, Fuzhou University. Her interests mainly include distributed coordination control and safety control. She has published over 20 papers in international journals and conferences. She has also led a project of China Postdoctoral Science Foundation.

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