Chair: Shude He, Guangzhou University, China
Co-Chairs: Yu Lu, Nanjing University of Science and Technology, China
Ke Lu, Guangxi University, China

Keywords: Cooperative Control, Learning Control, Unmanned Surface Vehicle, Autonomous Underwater Vehicle, Submersible Vehicle, Amphibious Vehicle

Information: This special session focuses on cutting-edge theoretical research on cooperative control of marine robots, covering heterogeneous platforms including surface, underwater, submersible, and amphibious vehicles. It particularly addresses the challenges posed by complex marine environments to system autonomy, adaptability, and robustness. The inherent characteristics of the ocean—strong disturbances, poor communication, and high dynamics—pose profound difficulties for traditional modeling, control, and decision-making theories, necessitating new analytical tools and design methodologies. The session aims to bring together scholars and postgraduate students in robotics, control theory, and artificial intelligence, and through invited presentations and in-depth discussions, to explore theoretical issues in perception fusion, cooperative control, dynamic decision-making, and multi-platform coordination under uncertain environments, as well as to envision future research directions. Participants will gain an in-depth understanding of the latest theoretical advances in the field, obtain a clear recognition of core scientific problems, and foster interdisciplinary idea exchanges and collaborative research.

Submission Deadline: October 12, 2026

More special sessions will be updated soon.