OA-ECBVC: A Cooperative Collision-free Encirclement and Capture Approach in Cluttered Environments
Abstract
This article investigates the practical scenarios of chasing an adversarial evader in an unbounded environment with cluttered obstacles. We propose a Voronoi-based decentralized algorithm for multiple pursuers to encircle and capture the evader by reacting to collisions. An efficient approach is presented for constructing an obstacle-aware evader-centered bounded Voronoi cell (OA-ECBVC), which strictly ensures collision avoidance in various obstacle scenarios when pursuing the evader. The evader can be efficiently enclosed in a convex hull given random initial configurations. Furthermore, to cooperatively capture the evader, each pursuer continually compresses the boundary of its OA-ECBVC to quickly reduce the movement space of the evader while maintaining encirclement. Our OA-ECBVC algorithm is validated in various simulated environments with different dynamic systems of robots. Real-time performance of resisting uncertainties shows the superior reliability of our method for deployment on multiple robot platforms.
Keywords
Cite
@article{arxiv.2312.01326,
title = {OA-ECBVC: A Cooperative Collision-free Encirclement and Capture Approach in Cluttered Environments},
author = {Xinyi Wang and Yulong Ding and Yizhou Chen and Ruihua Han and Lele Xi and Ben M. Chen},
journal= {arXiv preprint arXiv:2312.01326},
year = {2023}
}
Comments
7 pages, 7 figures, conference