Cooperative Control, Intelligence, and Applications of Unmanned Swarm Systems

Introduction: Unmanned swarm systems, such as fleets of UAVs and multi-robot networks, are transforming modern engineering. By working collaboratively, swarms offer greater efficiency, scalability, and fault tolerance than single platforms. However, achieving seamless coordination remains highly challenging due to communication constraints, dynamic environments, and potential cyber-physical threats.

This special session aims to gather researchers, engineers, and practitioners to discuss the latest advancements and future directions in unmanned swarm systems. The session will focus on four core areas:

1. distributed control strategies (e.g., formation, consensus) under communication constraints
2. learning-based swarm intelligence for collaborative decision-making and path planning
3. resilient coordination methodologies against cyberattacks and system faults
4. real-world applications of swarm systems, such as cooperative search and rescue, surveillance, and autonomous logistics

Organizers:

Keding Yan, Xi’an Technological University, China Keding Yan is an associate professor, master's advisor, and head of the Department of Electronic and Information Engineering at Xi'an University of Technology. He primarily conducts in-depth theoretical research and related work in the fields of control theory and control engineering, detection technology and automation devices, pattern recognition, and intelligent systems. He has led and participated in two projects funded by the National Natural Science Foundation of China, two major defense science and technology projects, and several related projects. In recent years, he has published numerous papers in several well-known journals both domestically and internationally, and his extensive research and application in the field of detection technology have earned him the First Prize of the Shaanxi National Defense Science and Technology Award among other accolades.

Kun Yan, Xi’an Technological University, China Kun Yan is the associate professor of Xi’an Technological University. He has been long engaged in nonlinear system modeling and optimization, anti-disturbance and fault-tolerant control of UAV. He presides over many scientific research projects, such as the National Natural Science Foundation of China, the “Chunhui Plan” Cooperative Scientific Project From Ministry of Education, the Industrial Project from Science and Technology Department of Shaanxi Province, the Xi'an University Institutes Science and Technology Staff Service Enterprise Project and the Open Fund of Ministry of Education Key Laboratory of Information Fusion Technology. At present, he has published more than 30 papers and served as a reviewer for several international journals such as IEEE Transactions on Cybernetics, ISA Transactions and IET Control Theory and Applications.

Submission Guideline:

Please submit your manuscript via Online Submission System: https://easychair.org/conferences/?conf=rcae2026
Please choose "Special Session 5"