An Optimal Cooperative Hunting Strategy for Dynamic Water Surface Target
Qiqiang Gao, Kai Zheng, Hui Wang, Xiao Geng Liang, Yi Jiang · 2025
This paper explores a hunting strategy for multiple Unmanned Surface Vehicles (USVs) targeting dynamic objectives. The conditions for successful hunting are initially discussed, where the navigation risk model of the target is established using the concept of the ship domain. The minimum number of USVs required and their formation for successful hunting are determined through optimization. An optimal hunting point for each USV is then calculated using the proposed hunting point optimization algorithm, minimizing the time required for the USVs to complete the hunting process. Simulation results verify the feasibility and effectiveness of the proposed hunting strategy.