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General Optimization Framework for Recurrent Reachability Objectives

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00126564" target="_blank" >RIV/00216224:14330/22:00126564 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.24963/ijcai.2022/644" target="_blank" >https://doi.org/10.24963/ijcai.2022/644</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.24963/ijcai.2022/644" target="_blank" >10.24963/ijcai.2022/644</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    General Optimization Framework for Recurrent Reachability Objectives

  • Original language description

    We consider the mobile robot path planning problem for a class of recurrent reachability objectives. These objectives are parameterized by the expected time needed to visit one position from another, the expected square of this time, and also the frequency of moves between two neighboring locations. We design an efficient strategy synthesis algorithm for recurrent reachability objectives and demonstrate its functionality on non-trivial instances.

  • 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)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • 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 Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022

  • ISBN

    9781956792003

  • ISSN

    1045-0823

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    4642-4648

  • Publisher name

    ijcai.org

  • Place of publication

    Neuveden

  • Event location

    Vienna, Austria

  • Event date

    Jul 23, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article