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Contingent Planning for Robust Multi-Agent Path Finding

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10439479" target="_blank" >RIV/00216208:11320/21:10439479 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Contingent Planning for Robust Multi-Agent Path Finding

  • Original language description

    Multi-agent Path Finding deals with finding collision-free paths for a set of agents moving in a shared environment. Due to uncertainty during execution, agents might be delayed, which may bring collisions among them. In the paper, we propose using contingent planning to generate plans robust to delays. The initial plan is analyzed to find locations for possible collisions, and alternative paths are planned to divert delayed agents before the collision occurs. This novel concept of robustness guarantees no collisions (until some maximum delay), it does not prolong the execution of plans if the delay does not occur, and it does not significantly extend the planning time.

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    SoCS 2021: The 14th Annual Symposium on Combinatorial Search

  • ISBN

    978-1-57735-870-1

  • ISSN

    1082-3409

  • e-ISSN

  • Number of pages

    3

  • Pages from-to

    185-187

  • Publisher name

    AAAI Press

  • Place of publication

    Neuveden

  • Event location

    online

  • Event date

    Jul 26, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article