Connect Multi-Agent Path Finding: Generation and Visualization

Queffelec, Arthur; Sankur, Ocan; Schwarzentruber, François

doi:10.24963/ijcai.2021/714

Connect Multi-Agent Path Finding: Generation and Visualization

Arthur Queffelec, Ocan Sankur, Francois Schwarzentruber

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Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Demo Track. Pages 5008-5011.

https://doi.org/10.24963/ijcai.2021/714

Keywords

Multi-agent Systems: General
Planning and Scheduling: General

Abstract

We present a generic tool to visualize missions of the Connected Multi-Agent Path Finding (CMAPF) problem. This problem is a variant of MAPF which requires a group of agents to navigate from an initial configuration to a goal configuration while maintaining connection. The user can create an instance of CMAPF and can play the generated plan. Any algorithm for CMAPF can be plugged into the tool.

Arthur Queffelec, Ocan Sankur, and François Schwarzentruber. 2021. Connect Multi-Agent Path Finding: Generation and Visualization. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. IJCAI, 5008–5011. https://doi.org/10.24963/ijcai.2021/714

@inproceedings{ijcai2021p714,
  title     = {Connect Multi-Agent Path Finding: Generation and Visualization},
  author    = {Queffelec, Arthur and Sankur, Ocan and Schwarzentruber, François},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on
               Artificial Intelligence, {IJCAI-21}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Prof. Zhi-Hua Zhou},
  pages     = {5008--5011},
  year      = {2021},
  month     = {8},
  note      = {Demo Track},
  doi       = {10.24963/ijcai.2021/714},
  url       = {https://doi.org/10.24963/ijcai.2021/714},
}

TY  - CPAPER
TI  - Connect Multi-Agent Path Finding: Generation and Visualization
AU  - Queffelec, Arthur
AU  - Sankur, Ocan
AU  - Schwarzentruber, François
T2  - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2021
SP  - 5008
EP  - 5011
DO  - 10.24963/ijcai.2021/714
UR  - https://doi.org/10.24963/ijcai.2021/714
ER  -