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Multi-agent pathfinding with continuous time

  • Published:2022-04 Issue: Volume:305 Page:103662
  • ISSN:0004-3702
  • Container-title:Artificial Intelligence
  • language:en
  • Short-container-title:Artificial Intelligence

Author:

Andreychuk Anton,Yakovlev KonstantinORCID,Surynek PavelORCID,Atzmon Dor,Stern RoniORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference81 articles.

1. Coordinating hundreds of cooperative, autonomous vehicles in warehouses;Wurman;AI Magazine,2008

2. Planning, scheduling and monitoring for airport surface operations;Morris,2016

3. Cobots: robust symbiotic autonomous mobile service robots;Veloso,2015

4. Feasibility study: moving non-homogeneous teams in congested video game environments;Ma,2017

5. An optimization variant of multi-robot path planning is intractable;Surynek,2010

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4. Comparison of Classic and Recent Multi-Agent Path Finding Methods via MAPFame;2023 IEEE International Conference on Networking, Sensing and Control (ICNSC);2023-10-25

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