Speakers（报告人）

Yang Tang (East China University of Science and Technology, China)

Guanghui Wen (Southeast University, China)

Hesheng Wang (Shanghai Jiao Tong University, China)

Hao Zhang (Tongji   University, China)

Speaker 1                                                                                  

Speaker: Yang Tang (East China   University of Science and Technology, China)

Title: Autonomous Transmission,   Collaborative Observation, and Decision Optimization of Information in   Micro-Nano Satellite Clusters

Abstract: In recent years, with the development of   aerospace technology and the promotion of demand, the miniaturization and   clustering of spacecraft has become a development trend. Micro-nano   satellites have the advantages of short development cycle, high flexibility   and strong robustness due to their small size, light weight and low cost, but   at the same time they lead to resource limitations such as hardware payload,   energy reserve and communication bandwidth, which seriously affect the   working performance of micro-nano satellite clusters. Autonomous   transmission, interaction and sharing of information are the guarantee of the   collaborative work of micro-nano satellite clusters and the key to improving   their autonomy and intelligence. This report is aimed at the needs of   collaborative observation tasks of micro-nano satellite clusters. Based on   technologies such as intelligent unmanned systems, artificial intelligence,   and network communications, this report conducts basic theoretical research   and key technology research from three levels: information routing mechanism   in the satellite cluster network, information sharing method between nodes,   and intelligent application of information in the satellite cluster. This   report aims to provide guidance and reference for the theoretical and applied   research on information transmission, interaction and sharing of intelligent   unmanned systems under resource constraints.

Biography: Yang Tang (Fellow, IEEE)   received the B.S. and Ph.D. degrees in electrical engineering from Donghua   University, Shanghai, China, in 2006 and 2010, respectively. From 2008 to   2010, he was a Research Associate with The Hong Kong Polytechnic University,   Hong Kong. From 2011 to 2015, he was a Post-Doctoral Researcher with the   Humboldt University of Berlin, Berlin, Germany, and with the Potsdam   Institute for Climate Impact Research, Potsdam, Germany. He is now a   Professor with the East China University of Science and Technology, Shanghai.   His current research interests include distributed estimation/control/optimization,   computer vision, reinforcement learning, cyber-physical systems, hybrid   dynamical systems, and their applications.

   Prof. Tang is an IEEE Fellow. He was a recipient of the Alexander von   Humboldt Fellowship. He is an Senior Area Editor of IEEE Transactions on   Circuits and Systems-I: Regular Papers, Associate Editor of IEEE Transactions   on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics,   IEEE Transactions on Industrial Informatics, IEEE/ASME Transactions on   Mechatronics, IEEE Transactions on Circuits and Systems-I: Regular Papers,   IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions   on Emerging Topics in Computational Intelligence, IEEE Systems Journal,   Engineering Applications of Artificial Intelligence (IFAC Journal), Science   China Information Sciences and Acta Automatica Sinica, etc. He has published   more than 200 papers in international journals and conferences, including   more than 130 papers in IEEE Transactions and 20 papers in IFAC journals. He   has been awarded as best/outstanding Associate Editor in IEEE journals for   four times. He is a (leading) guest editor for several special issues   focusing on autonomous systems, robotics, and industrial intelligence in IEEE   Transactions.

Speaker 2

Speaker: Guanghui Wen (Southeast   University, China)

Title: Distributed Consensus and   Optimization of Multi-Agent Systems with Switching Communication Topologies

Abstract: In recent years, advancements in perception, communication, and   embedded technologies have had a transformative impact on system analysis and   control methods. Modern engineering control systems are increasingly   characterized by networked structures and intelligent units. Within this   context, the concept of multi-agent systems (MASs) has emerged, and the   distributed cooperative control and optimization of such systems have   gradually become a research frontier in the fields of systems and control. In   practice, due to factors such as the limited communication range of agents   and interference in communication links, the communication topology of MASs   often exhibits dynamic switching characteristics. This talk begins by   discussing the key issues of consensus control in MASs under switching   communication topologies, outlining the critical techniques for addressing   these problems: the common Lyapunov function method and the multiple Lyapunov   function method. For MASs with directed switching communication topologies,   it presents the construction methods and consensus criteria of multiple   Lyapunov functions based on nonsingular M-matrix theory, and further explores   low-conservatism multiple Lyapunov function construction methods based on   Lyapunov inequalities and optimization techniques. On this basis, the robust   optimization problems of MASs with physical dynamics under switching   communication topologies are discussed. Finally, the application of the   related theoretical results in the formation control of unmanned surface   vessels is shared, along with personal insights on related emerging research   topics.

Biography: Prof. Wen received the Ph.D. degree in mechanical systems and control   from Peking University, Beijing, China, in 2012. He is currently an Endowed   Chair Professor at Department of Systems Science, Southeast University,   Nanjing, China. His current research interests include coordination control   of autonomous intelligent systems, analysis and synthesis of complex   networks, cyber-physical systems, resilient control, and distributed   reinforcement learning. He has published more than 200 papers, including more   than 150 publications in top-tier journals in the fields of systems and   control (TAC, Automatica, TII, TIE, etc.). Prof. Wen was the recipient of the   National Science Fund for Distinguished Young Scholars, the China Youth   Science and Technology Award, the Australian Research Council Discovery Early   Career Researcher Award, and the Asia Pacific Neural Network Society Young   Researcher Award. He currently serves as a Technical Editor of the IEEE/ASME   Transactions on Mechatronics and an Associate Editor of the IEEE Transactions   on Industrial Informatics, the IEEE Transactions on Neural Networks and   Learning Systems, the IEEE Transactions on Intelligent Vehicles, the IEEE   Transactions on Fuzzy Systems, the IEEE Transactions on Systems, Man and Cybernetics:   Systems, the IEEE Open Journal of the Industrial Electronics Society, and the   Asian Journal of Control. Prof. Wen has been named a Highly Cited Researcher   by Clarivate Analytics since 2018. He is an IET Fellow.

Speaker 3

Speaker: Hesheng Wang (Shanghai Jiao   Tong University, China)

Title:Vision-Based Robot Localization, Navigation, and Control

Abstract: Hesheng Wang is a Distinguished Professor of Shanghai Jiao Tong University, China. He has published more than 200 papers in refereed journals and conferences. Dr. Wang is/was an Associate Editor of IEEE Transactions on Automation Science and Engineering, IEEE Robotics and Automation Letters, Robotic Intelligence and Automation and the International Journal of Humanoid Robotics, a Senior Editor of the IEEE/ASME Transactions on Mechatronics, an Editor-in-chief of Robot Learning. He served as an Associate Editor of the IEEE Transactions on Robotics from 2015 to 2019, a Technical Editor of the IEEE/ASME Transactions on Mechatronics from 2020 to 2023, an Editor of Conference Editorial Board (CEB) of IEEE Robotics and Automation Society from 2022 to 2024. He was the General Chair of IEEE ROBIO 2022 and IEEE RCAR 2016, and the Program Chair of the IEEE ROBIO 2014 and IEEE/ASME AIM 2019. He will be the General Chair of IEEE/RSJ IROS 2025.

Biography:This report focuses on the two core functions of service robots: mobility and manipulation. First, an overview of the current status of the service robot industry and technological development, along with the challenges faced, is provided. Next, the report introduces the key achievements of the team's long-term efforts in addressing the core technical challenges of mobility and manipulation. To tackle the issue of velocity perception and localization failure caused by the complex dynamics of non-holonomic mobile robots and dynamic environmental interferences, a computation method that integrates attention-based back-end optimization and explicit occlusion handling is proposed. This method achieves robust perception and localization of mobile robots through visual fusion in complex and large scenes. To address the problem of traditional calibrated control algorithms being prone to failure in uncalibrated environments, an adaptive visual servoing framework is developed that entirely relies on visual feedback without prior environmental information. This framework solves the challenge of high-precision robotic operations without calibration. A practical and versatile vision-based method system has been established, elevating the critical technological level of service robots.

Speaker 4

Speaker: Hao Zhang (Tongji University, China)

Title: Multi-Robot Autonomous Exploration and Trajectory   Planning

Abstract: In recent years,   autonomous mobile robot technology has advanced significantly, particularly   in areas such as autonomous exploration and motion planning. However, when   the environment contains obstacles, the trajectory optimization problem   transitions from convex to non-convex optimization, significantly increasing   its complexity. Furthermore, for nonlinear and high-dimensional systems,   achieving efficient, robust, and flexible motion planning and cooperative   control in complex environments continues to present a significant challenge.   To address these challenges, this report focuses on autonomous exploration   and trajectory planning for multi-robot systems. Specifically, motion   planners utilizing obstacle-aware convex decomposition provide a foundation   for individual motion planning. Multi-robot collaborative exploration focuses   on unknown environments and task allocation strategies to optimize   exploration efficiency. Meanwhile, distributed model predictive control   facilitates the generation of collision-avoidance trajectories on demand,   ensuring safe and efficient system operation.

Biography: Zhang Hao is a professor, doctoral supervisor, and vice dean of the   School of Electronics and Information Engineering at Tongji University. She   is a Chang Jiang Scholars Distinguished Professor, appointed by the Ministry   of Education, and a recipient of the National Excellent Young Scientists   Fund. She has also been selected as a Young Scientist by the China   Association of Automation, a “Hong Kong Scholar” under the National Program,   and a Shanghai Shuguang Scholar. Her research focuses on the cooperative   control and optimization of multi-agent systems. She has led five National   Natural Science Foundation projects, including one key project, and has   participated in multiple national and provincial-level projects, such as the   National Key R&D Program. She has authored three monographs and, in   recent years, has published more than 100 papers in influential international   journals, including over 70 in Automatica and IEEE Transactions, with more   than 10 selected as ESI Highly Cited Papers. She holds 30 granted and pending   national invention patents. She currently serves on the editorial boards of   journals such as IEEE Intelligent Transportation Systems Magazine, IEEE   Transactions on Automation Science and Engineering, SCIENCE CHINA Information   Science-Security and Safety, and as an executive editor of Intelligence &   Robotics. She also serves as a member of the Control Theory Professional   Committee of the China Association of Automation and the Endogenous Security   Professional Committee of the China Institute of Communications. She has   received eight provincial and ministerial-level awards, including the First   Prize in the Shanghai Natural Science Award and the First Prize in the   Shanghai Science and Technology Progress Award.