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Learn all about Multi-Agent Path Finding (MAPF)

Publication

G. Gange, D. Harabor and P. Stuckey. Lazy CBS: Implict Conflict-Based Search Using Lazy Clause Generation. In Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), 2019.


Abstract: We describe a new way of reasoning about symmetric collisions for Multi-Agent Path Finding (MAPF) on 4-neighbor grids. We also introduce a symmetry-breaking constraint to resolve these conflicts. This specialized technique allows us to identify and eliminate, in a single step, all permutations of two currently assigned but incompatible paths. Each such permutation has exactly the same cost as a current path, and each one results in a new collision between the same two agents. We show that the addition of symmetry-breaking techniques can lead to an exponential reduction in the size of the search space of CBS, a popular framework for MAPF, and report significant improvements in both runtime and success rate versus CBSH and EPEA* -- two recent and state-of-the-art MAPF algorithms.


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(last updated in 2019)