Multi-Agent Pathfinding with Matching using Enhanced Partial Expansion A*

Bachelor thesis (2021)

Authors

J. de Jong Electrical Engineering, Mathematics and Computer Science

Contributors

J. Mulderij Algorithmics - EEMCS (mentor)
M.M. de Weerdt Algorithmics - EEMCS (mentor)
Marco Zuniga Embedded Systems - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2021 Jaap de Jong
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Published Date

01-07-2021

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

For the Multi-Agent Pathfinding (MAPF) problem, a set of non-colliding paths must be found for multiple agents. In Multi-Agent Pathfinding with Matching (MAPFM), this problem is extended: agents and goals are added to a team and each agent has to navigate to a goal that belongs to the same team. In this paper, two extensions of the EPEA* MAPF solver will be discussed that enable it to solve MAPFM problems. The first extension modifies the EPEA* algorithm to directly allow it to solve MAPFM problem instances. The second extension generates all possible goal assignments for each agent and runs EPEA* on these assignments. This last extension is shown to have a superior performance in most cases. The second extension is also compared to extensions of other MAPF algorithms.

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