Multi-Agent Corridor Generating Algorithm

Arseniy Pertzovsky, Roni Stern, Roie Zivan, Ariel Felner
10/16/2024
cs.MA

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Abstract

In this paper, we propose the Multi-Agent Corridor Generating Algorithm (MACGA) for solving the Multi-agent Pathfinding (MAPF) problem, where a group of agents need to find non-colliding paths to their target locations. Existing approaches struggle to solve dense MAPF instances. In MACGA, the agents build \emph{corridors}, which are sequences of connected vertices, from current locations towards agents' goals, and evacuate other agents out of the corridors to avoid collisions and deadlocks. We also present the MACGA+PIBT algorithm, which integrates the well-known rule-based PIBT algorithm into MACGA to improve runtime and solution quality. The proposed algorithms run in polynomial time and have a reachability property, i.e., every agent is guaranteed to reach its goal location at some point. We demonstrate experimentally that MACGA and MACGA+PIBT outperform baseline algorithms in terms of success rate, runtime, and makespan across diverse MAPF benchmark grids.

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Cite this paper

@article{pertzovsky2024multiagent,
  title  = {Multi-Agent Corridor Generating Algorithm},
  author = {Arseniy Pertzovsky and Roni Stern and Roie Zivan and Ariel Felner},
  year   = {2024},
  eprint = {2410.12397},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2410.12397v2}
}

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