Multi-Agent Path Finding with Priority Transfer Accompanied with Moving Obstacles

Yichen Ding, Jialong Li, Kenji Tei

研究成果: Conference contribution

抄録

In the Multi-Agent Path Finding (MAPF) problem, a set of agents moving on a graph must reach their respective destinations without inter-agent collisions. In the MAPF problem, when agents plan a route, they compete for some resources on a specific route, and such contention sometimes causes deadlock. However, unpredictable obstacles like warehouses may appear in real scenes, making route planning difficult. Based on the existing MAPF algorithm, this paper proposes a new algorithm that relies on an adaptive prioritization scheme to pay effort to the adjacent movements of multiple agents in the presence of unpredictable and moving obstacles while avoiding collisions.

本文言語English
ホスト出版物のタイトルSISY 2022 - IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics, Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ103-108
ページ数6
ISBN(電子版)9781665489881
DOI
出版ステータスPublished - 2022
イベント20th IEEE Jubilee International Symposium on Intelligent Systems and Informatics, SISY 2022 - Subotica, Serbia
継続期間: 2022 9月 152022 9月 17

出版物シリーズ

名前SISY 2022 - IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics, Proceedings

Conference

Conference20th IEEE Jubilee International Symposium on Intelligent Systems and Informatics, SISY 2022
国/地域Serbia
CitySubotica
Period22/9/1522/9/17

ASJC Scopus subject areas

  • 人工知能
  • 人間とコンピュータの相互作用
  • 情報システム
  • 情報システムおよび情報管理
  • モデリングとシミュレーション
  • 健康情報学

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