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Multi-Agent Path Finding on Real Robots

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10408120" target="_blank" >RIV/00216208:11320/19:10408120 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multi-Agent Path Finding on Real Robots

  • Original language description

    Multi-agent path finding (MAPF) deals with the problem of finding a collision-free path for a set of agents in a graph. It is an abstract version of the problem to coordinate movement for a set of mobile robots. This demo presents software guiding through the MAPF task, starting from the problem formulation and finishing with execution of plans on real robots. Users can design grid-like maps, specify initial and goal locations of robots, generate plans using various abstract models implemented in the Picat programming language, simulate and visualise execution of these plans, and translate the plans to command sequences for Ozobots, small robots developed for teaching programming.

  • 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/GA19-02183S" target="_blank" >GA19-02183S: Smart Swarms: From Theory to Practice</a><br>

  • Continuities

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

Others

  • Publication year

    2019

  • 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 Twenty-Ninth International Conference on Automated Planning and Scheduling

  • ISBN

  • ISSN

    2334-0843

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    2

  • Publisher name

    neuveden

  • Place of publication

    neuveden

  • Event location

    Berkeley

  • Event date

    Jul 11, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article