@inproceedings{f5d6d2a34c724661823684a667638e00,
title = "A Pursuit-Evasion Problem of Multiple Pursuers from the Biological-inspired Perspective",
abstract = "The pursuit-evasion problem is common in both nature and the artificial intelligence area. We consider the multi-player pursuit-evasion problem of multiple pursuers with communication constraints on an evader. Besides, the velocity of all pursuers is varying, and the initial positions do not need to be on the circle. The conditions for successful capture, including distance conditions and quantity conditions, are defined in this paper. Furthermore, the capture strategy and escape strategy are designed from the biological-inspired perspective. We realize collision avoidance, gathering, and direction alignment between pursuers by introducing repulsion, attraction, and alignment functions in the pursuer strategy. Then, we observe the sharp phase-transition between the capture zone and escape zone and fit the relevant phase-transition lines by varying the repulsion-coefficient and attraction-coefficient. Based on the coherent analysis for pursuit-evasion behaviour, the relationship between the parameters and the outcome can be obtained.",
keywords = "Biological-Inspired, Collision Avoidance, Multiple Pursuers, Newtonian Dynamics, Pursuit-Evasion",
author = "Jianan Wang and Guilu Li and Li Liang and Dandan Wang and Chunyan Wang",
note = "Publisher Copyright: {\textcopyright} 2021 Technical Committee on Control Theory, Chinese Association of Automation.; 40th Chinese Control Conference, CCC 2021 ; Conference date: 26-07-2021 Through 28-07-2021",
year = "2021",
month = jul,
day = "26",
doi = "10.23919/CCC52363.2021.9549448",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "1596--1601",
editor = "Chen Peng and Jian Sun",
booktitle = "Proceedings of the 40th Chinese Control Conference, CCC 2021",
address = "United States",
}