Intelligent Optimization and Autonomous Control for Unmanned Aerial Systems

Against the background of the global transition toward low-carbon development and the rapid advancement of emerging energy technologies, unmanned aerial vehicles have been increasingly applied in energy infrastructure inspection, environmental monitoring, resource exploration, and emergency response due to their high mobility, flexible deployment, and operational efficiency. This special session focuses on intelligent optimization and autonomous control of unmanned aerial systems in support of low-carbon and energy-related applications. It will address key topics including intelligent optimization of UAV systems, energy-efficient path planning, task allocation, formation control, target detection, and target tracking. The session aims to promote interdisciplinary research integrating artificial intelligence, unmanned systems, and energy technologies, and to provide theoretical foundations and technological solutions for improving the energy efficiency, autonomy, coordination capability, and environmental adaptability of UAV systems in complex operational scenarios. Topics of interest include, but are not limited to:

1. Intelligent optimization of UAV systems and energy technology

2. UAV path planning technology and energy technology

3. UAV task allocation and energy technology

4. UAV formation and energy technology

5. UAV target detection, target tracking, and energy technology

Chairs:

He Huang, Chang'an University, China

He Huang is a professor and doctoral supervisor at Chang'an University. His teaching and research interests focus primarily on intelligent optimization and the measurement and control of unmanned systems. He currently serves as Director of the Shaanxi Provincial Pilot Base for the "Dual-Mentor System" in Science and Technology Innovation and Entrepreneurship. He is also a member of the Technical Committee on Intelligent Transportation of the Chinese Association for Artificial Intelligence, a Senior Member of the China Highway and Transportation Society, a member of the Technical Committee on the Internet of Things of the China Institute of Communications, and a member of the Technical Committee on Control Theory and Applications of the Shaanxi Association of Automation. He has received several honors, including the First Prize of the National Teaching Achievement Award and the Second Prize of the Military Science and Technology Progress Award. He has published eight books.

Xiaohui Li, Chang'an University, China

Xiaohui Li, received a Ph.D. in Engineering and serves as an associate professor in the Department of Automation at the School of Electronic and Control Engineering, Chang'an University. In 2011, he earned a Ph.D. in Industrial Systems Optimization from the University of Technology of Troyes in France. He has led or participated in numerous provincial and ministerial-level vertical projects as well as horizontal research initiatives. With over 40 related papers published in domestic and international academic journals such asExpert Systems with Applications,Journal of Intelligent Manufacturing,IEEE ACCESS,Journal of Lanzhou University,Journal of Chongqing University,Journal of Shandong University,Journal of Northeastern University,Journal of Central South University, andAutomation in Manufacturing, as well as international conferences.