Homotopy-Aware Multi-Agent Path Planning on Plane

Fuente: arXiv
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Main Author: Kasaura, Kazumi
Format: Preprint
Published: 2023
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author Kasaura, Kazumi
author_facet Kasaura, Kazumi
contents We propose an efficient framework using Dynnikov coordinates for homotopy-aware multi-agent path planning in planar domains that may contain obstacles. We developed a method for generating multiple homotopically distinct solutions for the multi-agent path planning problem in planar domains by combining our framework with revised prioritized planning and proved its completeness under specific assumptions. Experimentally, we demonstrated that our method is significantly faster than a method without Dynnikov coordinates. We also confirmed experimentally that homotopy-aware planning contributes to avoiding locally optimal solutions when searching for low-cost trajectories for a swarm of agents in a continuous environment.
format Preprint
id arxiv_https___arxiv_org_abs_2310_01945
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Homotopy-Aware Multi-Agent Path Planning on Plane
Kasaura, Kazumi
Multiagent Systems
Computational Geometry
We propose an efficient framework using Dynnikov coordinates for homotopy-aware multi-agent path planning in planar domains that may contain obstacles. We developed a method for generating multiple homotopically distinct solutions for the multi-agent path planning problem in planar domains by combining our framework with revised prioritized planning and proved its completeness under specific assumptions. Experimentally, we demonstrated that our method is significantly faster than a method without Dynnikov coordinates. We also confirmed experimentally that homotopy-aware planning contributes to avoiding locally optimal solutions when searching for low-cost trajectories for a swarm of agents in a continuous environment.
title Homotopy-Aware Multi-Agent Path Planning on Plane
topic Multiagent Systems
Computational Geometry
url https://arxiv.org/abs/2310.01945