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Towards Holistic Approach to Robust Execution of MAPF plans

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10507207" target="_blank" >RIV/00216208:11320/25:10507207 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21230/25:00381772 RIV/68407700:21730/25:00381772

  • Result on the web

    <a href="https://doi.org/10.5220/0013319700003890" target="_blank" >https://doi.org/10.5220/0013319700003890</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5220/0013319700003890" target="_blank" >10.5220/0013319700003890</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Towards Holistic Approach to Robust Execution of MAPF plans

  • Original language description

    Multi-agent path finding (MAPF) deals with the problem of navigating a set of agents in a shared environ ment to reach their destinations without collisions. Even if the plan is collision-free, some delay during plan execution may lead to collision of agents if they execute the plans blindly. In this position paper, we discuss the concept of robust execution of MAPF plans by exploiting an action dependency graph. We suggest how to evaluate the effect of delay by computing a slack-like value for not yet visited locations, and we propose a three-layer architecture- retiming, rescheduling, and replanning to handle delays effectively.

  • 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/GA23-05104S" target="_blank" >GA23-05104S: Multi-Robotic Path Planning and Execution</a><br>

  • Continuities

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

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 17th International Conference on Agents and Artificial Intelligence, ICAART 2025 - Volume 1

  • ISBN

    978-989-758-737-5

  • ISSN

  • e-ISSN

    2184-433X

  • Number of pages

    8

  • Pages from-to

    624-631

  • Publisher name

    SCITEPRESS

  • Place of publication

    Neuveden

  • Event location

    Porto, Portugal

  • Event date

    Feb 23, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article