Keynote Speakers

Prof. Panfeng Huang, Northwestern Polytechnical University, China

黄攀峰 教授，西北工业大学

Biography: Panfeng Huang (Senior Member, IEEE) received the B.S. and M.S. degrees in test and measurement technology and navigation guidance and control from Northwestern Polytechnical University, Xi’an, China, in 1998 and 2001, respectively, and the Ph.D. degree in automation and robotics from The Chinese University of Hong Kong, Hong Kong, in 2005.,He is currently a Professor with the School of Astronautics and the Vice Director of the Research Center for Intelligent Robotics, Northwestern Polytechnical University. His research interests include tethered space robotics, intelligent control, machine vision, and space teleoperation.

Speech Title: Key Technologies and Applications for Ultra-Precision and Ultra-Stability Control of Spacecraft Payloads

Abstract: Spacecraft payloads are the core components of space missions, and their technological sophistication has emerged as a pivotal strategic asset in the realm of civil-military integration and a critical arena in global space competition. New-generation high-value payloads exhibit characteristics such as multi-scale features, variable stiffness, and cross-generational performance. These features pose significant challenges, including dynamic modeling errors, multi-source disturbance suppression, and control instability under extreme operating conditions. This presentation first outlines the ultra-precision and ultra-stability control requirements for complex spacecraft payloads; then categorizes and analyzes the functions of typical payload systems; subsequently focuses on establishing an ultra-precision and ultra-stable control framework, dissects the dynamic behaviors of rigid (e.g., optical clocks), flexible (e.g., antennas), and ultra-flexible (e.g., tethered systems) payloads in detail, and proposes a collaborative innovation approach integrating “modeling–control–actuation”. Finally, the application of these technologies in projects such as the Mengtian experimental module of the Chinese space station and the “Xihe” experimental satellite is presented. These research efforts have overcome key technical bottlenecks in spacecraft payload control under complex environmental conditions, providing critical technical support for China’s pursuit of leadership in space exploration, with promising broad application prospects and significant societal benefits.

Prof. Haitao Zhang, Huazhong University of Science and Technology, China

张海涛 教授，华中科技大学

Biography: Hai-Tao Zhang received the B.E. degree in automation and the Ph.D. degree in control science and engineering from the University of Science and Technology of China, Hefei, China, in 2000 and 2005, respectively.,From January to December 2007, he was a Postdoctoral Researcher with the University of Cambridge, Cambridge, U.K. Since 2005, he has been with the Huazhong University of Science and Technology, Wuhan, China, where he was an Associate Professor from 2005 to 2010 and has been a Full Professor since 2010. His research interests include swarming intelligence, model predictive control, and unmanned system cooperation control.,Dr. Zhang was the recipient of National Science Fund for Distinguished Young Scholars. He is/was an Associate Editor for IEEE Transactions on Systems, Cybernetics and Man-Systems, IEEE Transactions on Circuits and Systems II, Engineering, and Asian Journal of Control.

Speech Title: Autonomous Unmanned Surface Vehicle Fleet-Unmanned Aerial Vehicle Swarm Cross-Domain Cooperative Coverage Detection and Confrontation Gaming

Abstract: High efficiency, ultra-stability, and high precision represent the pinnacle of autonomous unmanned surface vehicle (USV) fleet cooperation technology, which has long been an international challenge. This seminar introduces the latest advancements made by Prof. Zhang’s team under the support of major national projects such as the National 2030 Initiative, the National Science Fund for Distinguished Young Scholars, and other key funding programs. These advancements include key technologies in USV-UAV swarm cooperative coverage, cross-domain cooperative takeoff and landing for USV-UAV fleets, patrol and trailing, and maritime channel confrontation gaming. The presentation also covers the team's research and development efforts in core functional components such as collective coverage perception, SLAM, cooperative takeoff and landing, and confrontation gaming, as well as the development of a complete set of swarm equipment, including 12 types of autonomous USVs and various types of USV-borneUAVs. Finally, the presentation highlights the phased application achievements of the aforementioned core technologies and equipment in areas such as real-time multi-point synchronous monitoring of large-scale marine facilities in the Guangdong-Hong Kong-Macao Greater Bay Area and electromagnetic exploration of oil and gas resources in the South China Sea.

Prof. Xiang Yu, Beihang University, China

余翔 教授，北京航空航天大学

Biography: Xiang Yu received the B.S., M.S., and Ph.D. degrees in automation science and engineering from Northwestern Polytechnical University, Xi'an, China, in 2003, 2004, and 2008, respectively.,He is currently a Professor with the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His current research interests include safety control of aerospace engineering systems, autonomous navigation, and control of unmanned aerial vehicles.,Dr. Yu was a recipient of the National Science Fund for Distinguished Young Scholars of China, First Prize of Science and Technology Progress Award of China Instrument and Control Society, Youth Science and Technology Award of Chinese Society of Aeronautics and Astronautics. He has also served as an Associate Editor for IEEE/ASME Transactions on Mechatronics, Journal of Field Robotics, Asian Journal of Control, and Chinese Journal of Aeronautics.

Speech Title: Bio-Inspired Navigation and Safety Control of Unmanned Flight Vehicles

Abstract: Current unmanned aerial vehicles (UAVs) are confined to "ideal environments, deterministic tasks, and preset modes". The autonomy, safety, and intelligence in strong-disturbance environments urgently need to be improved. Addressing the challenges faced by UAVs, such as the difficulty in separating coupled risk factors, the difficulty in navigation and positioning under strong denial countermeasure conditions, the difficulty in precise control with strong aerodynamic drag and dynamic center-of-gravity shift, and the difficulty in safe flight in unstructured spaces, this lecture presents the team's recent research progress from the perspective of bionic intelligence in aspects including risk learning and prediction algorithms, bionic autonomous navigation, bionic dexterous control, and disturbance utilization. The research aims to endow UAVs with capabilities such as "wise brain, sharp eyes, dexterous hands, and robust body" in environments full of disturbances.