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Exact Algorithms for Multiagent Path Finding with Communication Constraints on Tree-Like Structures

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F25%3A00378601" target="_blank" >RIV/68407700:21240/25:00378601 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1609/aaai.v39i22.34483" target="_blank" >https://doi.org/10.1609/aaai.v39i22.34483</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1609/aaai.v39i22.34483" target="_blank" >10.1609/aaai.v39i22.34483</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Exact Algorithms for Multiagent Path Finding with Communication Constraints on Tree-Like Structures

  • Original language description

    Consider the scenario where multiple agents have to move in an optimal way through a network, each one towards their ending position while avoiding collisions. By optimal, we mean as fast as possible, which is evaluated by a measure known as the makespan of the proposed solution. This is the setting studied in the Multiagent Path Finding problem. In this work, we additionally provide the agents with a way to communicate with each other. Due to size constraints, it is reasonable to assume that the range of communication of each agent will be limited. What should be the trajectories of the agents to, additionally, maintain a backbone of communication? In this work, we study the Multiagent Path Finding with Communication Constraint problem under the parameterized complexity framework. Our main contribution is three exact algorithms that are efficient when considering particular structures for the input network. We provide such algorithms for the case when the communication range and the number of agents (the makespan resp.) are provided in the input and the network has a tree topology, or bounded maximum degree (has a tree-like topology, i.e., bounded treewidth resp.). We complement these results by showing that it is highly unlikely to construct efficient algorithms when considering the number of agents as part of the input, even if the makespan is 3 and the communication range is 1.

  • 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/EH22_008%2F0004590" target="_blank" >EH22_008/0004590: Robotics and advanced industrial production</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2025

  • 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 39th AAAI Conference on Artificial Intelligence

  • ISBN

    978-1-57735-897-8

  • ISSN

    2159-5399

  • e-ISSN

    2374-3468

  • Number of pages

    9

  • Pages from-to

    23177-23185

  • Publisher name

    AAAI Press

  • Place of publication

    Menlo Park

  • Event location

    Philadelphia

  • Event date

    Feb 27, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001477505600007