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Solving Abstract Cooperative Path-Finding in Densely Populated Environments

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10126392" target="_blank" >RIV/00216208:11320/14:10126392 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1111/coin.12002" target="_blank" >http://dx.doi.org/10.1111/coin.12002</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/coin.12002" target="_blank" >10.1111/coin.12002</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Solving Abstract Cooperative Path-Finding in Densely Populated Environments

  • Original language description

    The problem of cooperative path-finding is addressed in this work. A set of agents moving in a certain environment is given. Each agent need to reach a given goal location. The task is to find spatial temporal paths for agents such that they eventually reach their goals by following these paths without colliding with each other. An abstraction where the environment is modeled as an undirected graph is adopted - vertices represent locations and edges represent passable regions. Agents are modeled as elements placed in the vertices. Space occupancy by agents is represented by a constraint that at most one agent can be located in a vertex at a time. At least one vertex remains unoccupied to allow agents to move. An agent can move into unoccupied neighboring vertex or into a vertex being currently vacated in a certain case. Two novel scalable algorithms for solving cooperative path-finding in bi connected graphs are presented. They are both targeted on the case with environments densely po

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

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

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Computational Intelligence

  • ISSN

    0824-7935

  • e-ISSN

  • Volume of the periodical

    2014

  • Issue of the periodical within the volume

    30 (2)

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    50

  • Pages from-to

    402-450

  • UT code for WoS article

    000335401900009

  • EID of the result in the Scopus database