Decentralized Unlabeled Multi-Agent Navigation in Continuous Space

Fuente: arXiv
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Main Authors: Dergachev, Stepan, Yakovlev, Konstantin
Format: Preprint
Published: 2024
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author Dergachev, Stepan
Yakovlev, Konstantin
author_facet Dergachev, Stepan
Yakovlev, Konstantin
contents In this work, we study the problem where a group of mobile agents needs to reach a set of goal locations, but it does not matter which agent reaches a specific goal. Unlike most of the existing works on this topic that typically assume the existence of the centralized planner (or controller) and limit the agents' moves to a predefined graph of locations and transitions between them, in this work we focus on the decentralized scenarios, when each agent acts individually relying only on local observations/communications and is free to move in arbitrary direction at any time. Our iterative approach involves agents individually selecting goals, exchanging them, planning paths, and at each time step choose actions that balance between progressing along the paths and avoiding collisions. The proposed method is shown to be complete under specific assumptions on how agents progress towards their current goals, and our empirical evaluation demonstrates its superiority over a baseline decentralized navigation approach in success rate (i.e. is able to solve more problem instances under a given time limit) and a comparison with the centralized TSWAP algorithm reveals its efficiency in minimizing trajectory lengths for mission accomplishment.
format Preprint
id arxiv_https___arxiv_org_abs_2412_20233
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Decentralized Unlabeled Multi-Agent Navigation in Continuous Space
Dergachev, Stepan
Yakovlev, Konstantin
Multiagent Systems
In this work, we study the problem where a group of mobile agents needs to reach a set of goal locations, but it does not matter which agent reaches a specific goal. Unlike most of the existing works on this topic that typically assume the existence of the centralized planner (or controller) and limit the agents' moves to a predefined graph of locations and transitions between them, in this work we focus on the decentralized scenarios, when each agent acts individually relying only on local observations/communications and is free to move in arbitrary direction at any time. Our iterative approach involves agents individually selecting goals, exchanging them, planning paths, and at each time step choose actions that balance between progressing along the paths and avoiding collisions. The proposed method is shown to be complete under specific assumptions on how agents progress towards their current goals, and our empirical evaluation demonstrates its superiority over a baseline decentralized navigation approach in success rate (i.e. is able to solve more problem instances under a given time limit) and a comparison with the centralized TSWAP algorithm reveals its efficiency in minimizing trajectory lengths for mission accomplishment.
title Decentralized Unlabeled Multi-Agent Navigation in Continuous Space
topic Multiagent Systems
url https://arxiv.org/abs/2412.20233