Abstract: Efficient Multi-Agent Path Finding (MAPF) is pivotal for warehouse logistics. While existing learning-based methods primarily rely on computationally intensive grid-based representations, ...

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For Metro Transit riders arriving in downtown Minneapolis or St. Paul, transferring can be confusing. Riders often ask bus drivers, talk to fellow passengers or call Metro Transit to find out how to ...

Abstract: Multi-agent path finding (MAPF) problem in warehouse automation consists of optimal task assignment and path planning, where small runtime is necessary. In this letter, we present a new MAPF ...