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

Yichen Ding, Jialong Li, Kenji Tei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationSISY 2022 - IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages103-108
Number of pages6
ISBN (Electronic)9781665489881
DOIs
Publication statusPublished - 2022
Event20th IEEE Jubilee International Symposium on Intelligent Systems and Informatics, SISY 2022 - Subotica, Serbia
Duration: 2022 Sept 152022 Sept 17

Publication series

NameSISY 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
Country/TerritorySerbia
CitySubotica
Period22/9/1522/9/17

Keywords

  • Multi-agent path finding
  • moving obstacles
  • prioritized planning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Information Systems
  • Information Systems and Management
  • Modelling and Simulation
  • Health Informatics

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