Overview: Generalizations of Multi-Agent Path Finding to Real-World Scenarios

arXiv: Artificial Intelligence, Volume abs/1702.05515, 2017.

Cited by: 14|Bibtex|Views21
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Multi-agent path finding (MAPF) is well-studied in artificial intelligence, robotics, theoretical computer science and operations research. We discuss issues that arise when generalizing MAPF methods to real-world scenarios and four research directions that address them. We emphasize the importance of addressing these issues as opposed to...More

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