INVITED SPEAKER
Jianguo Chen, Sun Yat-sen University
Speech Title:
Multi-Agent Collaborative Autonomy and Distributed Edge Intelligence for Embodied Swarm Systems
Abstract:
The convergence of embodied artificial intelligence, multi-agent systems, and edge computing is opening new opportunities for intelligent autonomous collaboration in complex and dynamic environments. A fundamental challenge is to move beyond isolated intelligence at the individual-agent level toward scalable, adaptive, and task-oriented swarm intelligence, in which heterogeneous embodied agents can collaboratively perceive, learn, reason, and act through distributed intelligence and coordinated decision-making. This talk explores the architectures, enabling technologies, and practical applications of embodied intelligence swarms, with a particular focus on multi-agent collaborative autonomy and edge intelligence computing. It will introduce heterogeneous autonomous platforms, including unmanned ground vehicles, unmanned surface vehicles, and unmanned aerial vehicles, as well as the underlying system architectures that integrate onboard intelligence, edge computing, and distributed computing resources. Key technologies to be discussed include heterogeneous agent coordination, distributed task allocation, collaborative perception, and resource-aware computation orchestration. Particular emphasis will be placed on distributed model training and collaborative inference across heterogeneous platforms, enabling efficient coordination of computing, communication, and intelligent capabilities under resource and network constraints. Several representative applications will be presented, including intelligent campus inspection, air-ground collaborative target detection and tracking, indoor and outdoor autonomous inspection, and emergency response and rescue. These applications illustrate how individual autonomous systems can be flexibly organized into mission-oriented heterogeneous swarms to achieve coordinated sensing, distributed intelligence, and collaborative task execution in real-world environments. Finally, the talk will discuss key challenges and emerging research directions toward next-generation embodied intelligence swarms, including scalable and resilient multi-agent coordination, communication-efficient distributed learning, real-time collaborative inference, adaptive allocation of heterogeneous computing resources, and trustworthy autonomous decision-making.
Bio of the Invited Speaker Chen Jianguo is an Associate Professor and Ph.D. supervisor at the School of Software Engineering, Sun Yat-sen University. He leads the Intelligent Collaborative Computing research group. He has been selected for national-level talent programs for young scholars, major talent initiatives in Guangdong Province, and is recognized on the World's Top 2% Scientists (Stanford/Elsevier). His research interests encompass computer architecture, distributed and parallel computing, intelligent collaborative computing, and collaborative technologies for unmanned swarms, along with their industrial applications. He has led various research projects, including those funded by the National Natural Science Foundation of China (General Program), the Postdoctoral International Exchange Program, the Key Research and Development Program of Guangxi, and the Natural Science Foundations of Guangdong and Hunan provinces. He has also served as a key contributor to major national-level projects, including those under the 863 and 973 Programs. To date, he has published over 100 academic papers in prestigious international journals and conferences—such as IEEE-TII, IEEE-TITS, IEEE-TPDS, IEEE-TKDE, EuroSys, ATC, ASPLOS, and WWW—and holds more than 20 authorized invention patents. He serves as an Associate Editor for Neurocomputing, the International Journal of Embedded Systems, and the Journal of Current Scientific Research; as a Guest Editor for Information Sciences and Neural Computing and Applications; and has held the position of conference chair for several international academic conferences.
Bio of the Invited Speaker Chen Jianguo is an Associate Professor and Ph.D. supervisor at the School of Software Engineering, Sun Yat-sen University. He leads the Intelligent Collaborative Computing research group. He has been selected for national-level talent programs for young scholars, major talent initiatives in Guangdong Province, and is recognized on the World's Top 2% Scientists (Stanford/Elsevier). His research interests encompass computer architecture, distributed and parallel computing, intelligent collaborative computing, and collaborative technologies for unmanned swarms, along with their industrial applications. He has led various research projects, including those funded by the National Natural Science Foundation of China (General Program), the Postdoctoral International Exchange Program, the Key Research and Development Program of Guangxi, and the Natural Science Foundations of Guangdong and Hunan provinces. He has also served as a key contributor to major national-level projects, including those under the 863 and 973 Programs. To date, he has published over 100 academic papers in prestigious international journals and conferences—such as IEEE-TII, IEEE-TITS, IEEE-TPDS, IEEE-TKDE, EuroSys, ATC, ASPLOS, and WWW—and holds more than 20 authorized invention patents. He serves as an Associate Editor for Neurocomputing, the International Journal of Embedded Systems, and the Journal of Current Scientific Research; as a Guest Editor for Information Sciences and Neural Computing and Applications; and has held the position of conference chair for several international academic conferences.