Recently, the research team led by Professor Youqing Wang from the College of Information Science and Technology, Beijing University of Chemical Technology, has published a full paper titled "Optimal Strategies of Visibility-Based Pursuit-Evasion Game with Constrained Attack Range" in IEEE Transactions on Automatic Control.
This work focuses on a visibility-based pursuit-evasion game problem with constrained attack range, where the pursuer and the evader engage in a pursuit-evasion game in an environment with obstacles. The pursuer’s goal is to continuously maintain visibility of the evader and reduce the distance to the evader to bring it within the pursuer’s attack range. In contrast, the evader’s goal is to break free from the pursuer’s line of sight as soon as possible to achieve escape. By integrating geometric analysis, explicit strategy methods, and the Hamilton-Jacobi-Isaacs (HJI) equation, this study proposes a systematic theoretical framework for visibility-based pursuit-evasion games. It achieves an optimal balance between the pursuer’s distance reduction and surveillance strategies, and identifies the optimal strategies for both the pursuer and the evader as well as their respective winning regions. This work provides important theoretical support and practical reference value for intelligent pursuit-evasion decision-making, cooperative control of unmanned systems, and autonomous surveillance tasks in complex environments.
Paper Link: https://ieeexplore.ieee.org/document/11226874
Detailed Paper Information:
DOI: 10.1109/TAC.2025.3629030
Y. Wang, S. Bu, X. Yang, L. Wang and L. Liang, "Optimal Strategies of Visibility-Based Pursuit-Evasion Game with Constrained Attack Range," IEEE Transactions on Automatic Control, DOI: 10.1109/TAC.2025.3629030.