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Learn all about Multi-Agent Path Finding (MAPF)

Publication

A. Andreychuk, K. Yakovlev, D. Atzmon and R. Stern. Multi-Agent Pathfinding with Continuous Time. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pages 39-45, 2019.


Abstract: Multi-Agent Pathfinding (MAPF) is the problem of finding paths for multiple agents such that every agent reaches its goal and the agents do not collide. Most prior work on MAPF were on grids, assumed agents' actions have uniform duration, and that time is discretized into timesteps. In this work, we propose a MAPF algorithm that do not assume any of these assumptions, is complete, and provides provably optimal solutions. This algorithm is based on a novel combination of Safe Interval Path Planning (SIPP), a continuous time single agent planning algorithms, and Conflict-Based Search (CBS). We analyze this algorithm, discuss its pros and cons, and evaluate it experimentally on several standard benchmarks.


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(last updated in 2020)