Advances in Intelligent Perception, Decision-making and Control for Unmanned Systems

Chair:	Co-Chair:
Panlong Wu Nanjing University of Science and Technology, China	Baichun Gong Nanjing University of Aeronautics and Astronautics, China

Information: The session will focus on the core aspects of unmanned systems, including target detection and recognition, situational awareness, autonomous decision-making, and collaborative control, with an emphasis on addressing critical challenges such as low efficiency in multimodal data fusion, delays in behavioral cognition and intent inference, poor interpretability of strategies, and insufficient stability in group consensus control. Furthermore, it will explore practical applications of machine learning algorithms—including deep learning, reinforcement learning, and large-scale models—in prediction, decision-making, and intelligent interaction. This session aims to bring together researchers from diverse disciplinary backgrounds to advance the theoretical development and practical implementation of unmanned system control.

Topics of interest include but are not limited to:

• Integration theory of intelligent perception and autonomous decision-making
• Autonomous target detection and recognition in open environments
• Task allocation and path planning
• Autonomous control of unmanned systems
• Machine learning algorithms and their trustworthy applications

Submission Deadline: April 28, 2026 (the first round)