Leveraging Obstacles for Strategic Evasion in Quadrotor Pursuit-Evasion Games

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This paper explores a quadrotor pursuit-evasion (PE) game in an environment with obstacles. Existing research typically focuses on evasion strategies that avoid obstacles while increasing the distance from the pursuer, and very few studies have attempted to use obstacles to gain an advantage in winning the PE game. Assuming both quadrotors follow Dubin's car dynamics and the pursuer is less agile due to a larger minimum turning radius, this paper introduces a novel evasion strategy. This strategy leverages the obstacle by having the evader perform agile turns near it, potentially causing the pursuer to collide with the obstacle. Gazebo simulations have been conducted to validate that the evasion strategy can lead to the pursuer colliding with the obstacle under appropriate conditions.

Original languageEnglish
Title of host publication2025 IEEE 19th International Conference on Control and Automation, ICCA 2025
PublisherIEEE Computer Society
Pages298-303
Number of pages6
ISBN (Electronic)9798331595593
DOIs
Publication statusPublished - Sept 2025
Event19th IEEE International Conference on Control and Automation, ICCA 2025 - Tallinn, Estonia
Duration: 30 Jun 20253 Jul 2025

Publication series

NameIEEE International Conference on Control and Automation, ICCA
ISSN (Print)1948-3449
ISSN (Electronic)1948-3457

Conference

Conference19th IEEE International Conference on Control and Automation, ICCA 2025
Country/TerritoryEstonia
CityTallinn
Period30/06/253/07/25

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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