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Emulating Centralized Control in Multi-Agent Pathfinding Using Decentralized Swarm of Reflex-Based Robots

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F20%3A00346379" target="_blank" >RIV/68407700:21240/20:00346379 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/SMC42975.2020.9283368" target="_blank" >https://doi.org/10.1109/SMC42975.2020.9283368</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SMC42975.2020.9283368" target="_blank" >10.1109/SMC42975.2020.9283368</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Emulating Centralized Control in Multi-Agent Pathfinding Using Decentralized Swarm of Reflex-Based Robots

  • Original language description

    Multi-agent pathfinding (MAPF) represents a core problem in robotics. In its abstract form, the task is to navigate agents in an undirected graph to individual goal vertices so that conflicts between agents do not occur. Many algorithms for finding feasible or optimal solutions have been devised. We focus on the execution of MAPF solutions with a swarm of simple physical robots. Such execution is important for understanding how abstract plans can be transferred into reality and vital for educational demonstrations. We show how to use a swarm of reflex-based Ozobot Evo robots for MAPF execution.

  • 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/GA19-17966S" target="_blank" >GA19-17966S: intALG-MAPFg: Intelligent Algorithms for Generalized Variants of Multi-Agent Path Finding</a><br>

  • Continuities

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

Others

  • Publication year

    2020

  • 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 2020 IEEE International Conference on Systems, Man, and Cybernetics

  • ISBN

    978-1-7281-8526-2

  • ISSN

    2168-2216

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    3998-4005

  • Publisher name

    IEEE Computer Society

  • Place of publication

    Los Alamitos

  • Event location

    Toronto / Virtuální

  • Event date

    Oct 11, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article