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Spectral Clustering in Rule-based Algorithms for Multi-agent Path Finding (Extended Abstract).

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F24%3A00381395" target="_blank" >RIV/68407700:21240/24:00381395 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1609/socs.v17i1.31581" target="_blank" >https://doi.org/10.1609/socs.v17i1.31581</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1609/socs.v17i1.31581" target="_blank" >10.1609/socs.v17i1.31581</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Spectral Clustering in Rule-based Algorithms for Multi-agent Path Finding (Extended Abstract).

  • Original language description

    We address rule-based algorithms for multi-agent path finding (MAPF). MAPF is a task of finding non-conflicting paths connecting agents' initial and goal positions in a shared environment specified via an undirected graph. Rule-based algorithms use a fixed set of predefined primitive operations to move agents to their goal positions in a complete manner. We propose to apply spectral clustering on the underlying graph to decompose the graph into highly connected components and move agents to their goal cluster first before the rule-based algorithm is applied. The benefit of this approach is twofold: (1) the rule-based algorithms are often more efficient on highly connected clusters and (2) we can potentially run the algorithms in parallel on individual clusters.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA22-31346S" target="_blank" >GA22-31346S: logicMOVE: Logic Reasoning in Motion Planning for Multiple Robotic Agents</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the Seventeenth International Symposium on Combinatorial Search (SoCS 2024)

  • ISBN

    978-1-57735-891-6

  • ISSN

    2832-9171

  • e-ISSN

    2832-9163

  • Number of pages

    2

  • Pages from-to

    281-282

  • Publisher name

    AAAI Press

  • Place of publication

    Menlo Park

  • Event location

    Kananaskis

  • Event date

    Jun 6, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article