Chair（主持人）

Xinping Guan (Shanghai Jiao Tong University); Li Jin (Shanghai Jiao Tong   University)

Speakers（报告人）

Shenyuan   Xu (Nanjing University of Science and Technology, China)

Qinglei   Hu (Beihang University, China)

Yanjun Huang (Tongji   University, China)

Ling Shi (Hong Kong University of Science and Technology,   China)

Speaker 1

Speaker:  Shenyuan Xu (Nanjing University of Science and Technology,   China)

Title:  Intelligent Control and   Optimization of Ground Autonomous Motion Platform

Abstract: Ground autonomous motion platforms refer to automatic ground   vehicles that obtain environmental information through the platform itself,   realize autonomous navigation and control, and complete various tasks independently, including various types of   unmanned vehicles, ground wheeled robots, ground unmanned combat vehicles,   and so on; they are widely used in military and civilian fields such as   military reconnaissance and strike integration, intelligent transportation,   and post-disaster rescue. This report presents the intelligent control and   optimization theory and methods of ground autonomous motion platforms in view   of their complex system structures, communication delays, distributed   characteristics and communication constraints in order to provide theoretical   supports for the independent innovation of ground autonomous motion   platforms.

Biography: Shengyuan Xu received his B.Sc. degree from the Hangzhou   Normal University, China in 1990, M.Sc. degree from the Qufu Normal   University, China in 1996, and Ph.D. degree from the Nanjing University of   Science and Technology, China in 1999. From November 1999 to May 2000, he was   a Research Associate in the Department of Mechanical Engineering at the   University of Hong Kong, Hong Kong. From December 2000 to November 2001, and   December 2001 to September 2002, he was a Postdoctoral Researcher in CESAME   at the Universitè catholique de Louvain, Belgium, and the Department of   Electrical and Computer Engineering at the University of Alberta, Canada,   respectively. Since November 2002, he has joined the School of Automation at   the Nanjing University of Science and Technology as a professor.

Professor Xu obtained a grant from the National Science Foundation for   Distinguished Young Scholars of China in the year 2006. He was awarded a   Cheung Kong Professorship in the year 2008 from the Ministry of Education of   China. He obtained the Second Prize of National Natural Science Award in   2019. Professor Xu is an Associate Editor of the IEEE Transactions on   Cybernetics and a Subject Editor of the Journal of the Franklin Institute.

Speaker 2

Speaker: Qinglei Hu (Beihang University, China)

Title:  Intelligent perception and control method of space dual-arm robot

Abstract:  This report focuses on the comprehensive technical framework of   "modeling-perception-planning-control" for dual-arm space robots,   conducting systematic research centered on the operational requirements for   non-cooperative targets in orbit. Firstly, the topological relationships and   the influence of the base body in multi-arm space robotic systems are   elaborated, and a unified general dynamics model for space robots   incorporating multi-degree-of-freedom manipulators is established. Secondly,   issues such as distributed sensor measurements, sensor data distortion,   incompleteness, and multi-source interference are analyzed, and the   intelligent recognition and localization of space targets based on   multi-modal sensor data fusion are investigated. Subsequently, intelligent   autonomous trajectory planning strategies for the desired position and   orientation of space robots are explored, and a rapid autonomous planning   mechanism for dynamic capture trajectories of robotic arm systems is developed.   Furthermore, the adaptability of online decision-making control of joint   torques to uncertain strong disturbances is analyzed, enabling adaptive   compliant control. Finally, future trends in intelligent perception and   manipulation methods for dual-arm space robots are discussed.

Biography:   Qinglei Hu is a Professor and Dean of the School of Automation Science and   Electrical Engineering at Beihang University, with concurrent recognition as   National Leading Talent Scholar, and Fellow of the Chinese Association of   Automation (CAA). Specializing in aircraft navigation, guidance, and   control systems, he has pioneered interdisciplinary research integrating   advanced algorithms and aerospace engineering. Over his career, he has   spearheaded 10 more national flagship projects, including the National   Natural Science Foundation Major Research Instrument Program, Ministry of   Science and Technology Key Specialized Projects, and National Defense Basic   Research Key Initiatives, driving innovations in autonomous flight technologies   and high-precision navigation systems.

His scholarly contributions   encompass 150 more peer-reviewed papers in top-tier   journals, 5 English monographs on intelligent control   methodologies, and 50+ granted Chinese invention patents spanning   adaptive guidance algorithms and fault-tolerant control architectures. He has   received the Second Prize of the National Technology Invention Award,   the First Prize of the National Defense Technology Invention Award, and   the Natural Science First Prize from CAA, underscoring his dual impact   on theoretical advancements and industrial application.

Speaker 3

Speaker: Yanjun Huang (Tongji   University, China)

Title: Key Technologies of Closed-Loop Self-Evolving Autonomous Driving Systems

Abstract: With   the continuous development of autonomous driving technologies, current   systems still face substantial challenges in real-world open environments,   particularly the limitations of testing scenarios and the gap to practical   deployment. To address these issues, a closed-loop self-evolving autonomous   driving framework is proposed. This framework expands the operational domain   of autonomous driving systems through single-vehicle autonomous evolution and   multi-vehicle collaborative evolution. This research offers new perspectives   on addressing the safety challenges of autonomous driving technologies and   lays a solid technological foundation for the future proliferation and   development of intelligent transportation systems.

Biography:  Yanjun   Huang is a professor, recognized as a national-level young talent, a talent   team leader of MoE. He has led major national projects such as the KSFC Key   Projects and Key R&D Programs. In the past three years, he has published   9 ESI Highly Cited Papers and 1 Hot Paper. He has received several Best Paper   Awards, including IEEE TVT’s 2019 Best Paper, IEEE TIV’s 2024 Best Paper,   etc. He has been invited to serve as an AE for several top journals such as   IEEE TITS and Proc IMechE, Part D. Additionally, he was invited to chair the   first "Artificial Intelligence and Autonomous Driving" Global Youth   Forum organized by the International Federation of Automotive Engineering   Societies (FISITA). He has also led his team to win first place in the China   Intelligent and Connected Vehicle Algorithm Competition and has guided   students to achieve numerous national and provincial awards in innovation   competitions.

Speaker 4

Speaker: Ling Shi (Hong Kong University of Science and Technology,   China)

Title: Distributed   Cooperative LQR Design for Multi-Input Linear Systems

Abstract: We   consider the design of cooperative linear quadratic regulator (LQR) for   multi-input systems, where each input is generated by an agent which   communicates over a network. Under the mild assumption of joint controllability and by embedding a fully distributed information fusion strategy, a novel   cooperative LQR-based controller is proposed where each agent only needs to   communicate with its neighbors. The proposed controller is shown to achieve a   better tradeoff between the control performance and the communication   overhead compared with existing distributed LQR-based controllers.

Biography:  Ling Shi received his B.E. degree in Electrical and Electronic Engineering   from The Hong Kong University of Science and Technology (HKUST) in 2002 and   Ph.D. degree in Control and Dynamical Systems from The California Institute   of Technology (Caltech) in 2008. He is currently a Professor in the   Department of Electronic and Computer Engineering at HKUST. His research   interests include cyber-physical systems security, networked control systems,   sensor scheduling, event-based state estimation, and multi-agent robotic   systems (UAVs and UGVs). He served as an editorial board member for the   European Control Conference 2013-2016. He was a subject editor for   International Journal of Robust and Nonlinear Control (2015-2017), an   associate editor for IEEE Transactions on Control of Network Systems   (2016-2020), an associate editor for IEEE Control Systems Letters   (2017-2020), and an associate editor for a special issue on Secure Control of   Cyber Physical Systems in IEEE Transactions on Control of Network Systems   (2015-2017). He also served as the General Chair of the 23rd International   Symposium on Mathematical Theory of Networks and Systems (MTNS 2018). He   received the 2024 Chen Fan-Fu Award given by the Technical Committee on   Control Theory, Chinese Association of Automation (TCCT, CAA). He is a member   of the Young Scientists Class 2020 of the World Economic Forum (WEF), a   member of The Hong Kong Young Academy of Sciences (YASHK), and he is an IEEE Fellow.