Solving Multi-agent Path Finding on Strongly Biconnected Digraphs

Author:

Botea Adi,Bonusi Davide,Surynek Pavel

Abstract

Much of the literature on suboptimal, polynomial-time algorithms for multi-agent path finding focuses on undirected graphs, where motion is permitted in both directions along a graph edge. Despite this, traveling on directed graphs is relevant in navigation domains, such as path finding in games, and asymmetric communication networks.We consider multi-agent path finding on strongly biconnected directed graphs. We show that all instances with at least two unoccupied positions have a solution, except for a particular, degenerate subclass where the graph has a cyclic shape. We present diBOX, an algorithm for multi-agent path finding on strongly biconnected directed graphs. diBOX runs in polynomial time, computes suboptimal solutions and is complete for instances on strongly biconnected digraphs with at least two unoccupied positions. We theoretically analyze properties of the algorithm and properties of strongly biconnected directed graphs that are relevant to our approach. We perform a detailed empirical analysis of diBOX, showing a good scalability. To our knowledge, our work is the first study of multi-agent path finding focused on directed graphs.

Publisher

AI Access Foundation

Subject

Artificial Intelligence

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The computational complexity of multi-agent pathfinding on directed graphs;Artificial Intelligence;2024-03

2. Local Optimization of MAPF Solutions on Directed Graphs;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

3. Multi-Agent Path Finding on Strongly Connected Digraphs;2022 IEEE 61st Conference on Decision and Control (CDC);2022-12-06

4. Priority inheritance with backtracking for iterative multi-agent path finding;Artificial Intelligence;2022-09

5. Graph-Based Multi-Robot Path Finding and Planning;Current Robotics Reports;2022-06-16

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