A Pursuit-Evasion Problem of Multiple Pursuers from the Biological-inspired Perspective

Jianan Wang, Guilu Li, Li Liang, Dandan Wang, Chunyan Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 40th Chinese Control Conference, CCC 2021
EditorsChen Peng, Jian Sun
PublisherIEEE Computer Society
Pages1596-1601
Number of pages6
ISBN (Electronic)9789881563804
DOIs
Publication statusPublished - 26 Jul 2021
Event40th Chinese Control Conference, CCC 2021 - Shanghai, China
Duration: 26 Jul 202128 Jul 2021

Publication series

NameChinese Control Conference, CCC
Volume2021-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference40th Chinese Control Conference, CCC 2021
Country/TerritoryChina
CityShanghai
Period26/07/2128/07/21

Keywords

  • Biological-Inspired
  • Collision Avoidance
  • Multiple Pursuers
  • Newtonian Dynamics
  • Pursuit-Evasion

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