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phi Clust: Pheromone-based Aggregation for Robotic Swarms

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00328599" target="_blank" >RIV/68407700:21230/18:00328599 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8593961" target="_blank" >https://ieeexplore.ieee.org/document/8593961</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/IROS.2018.8593961" target="_blank" >10.1109/IROS.2018.8593961</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    phi Clust: Pheromone-based Aggregation for Robotic Swarms

  • Original language description

    In this paper, we proposed a pheromone-based aggregation method based on the state-of-the-art BEECLUST algorithm. We investigated the impact of pheromone-based communication on the efficiency of robotic swarms to locate and aggregate at areas with a given cue. In particular, we evaluated the impact of the pheromone evaporation and diffusion on the time required for the swarm to aggregate. In a series of simulated and real-world evaluation trials, we demonstrated that augmenting the BEECLUST method with artificial pheromone resulted in faster aggregation times.

  • 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/GJ17-27006Y" target="_blank" >GJ17-27006Y: Spatio-temporal representations for life-long mobile robot navigation</a><br>

  • Continuities

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

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

  • ISBN

    978-1-5386-8094-0

  • ISSN

    2153-0858

  • e-ISSN

    2153-0866

  • Number of pages

    7

  • Pages from-to

    4288-4294

  • Publisher name

    IEEE Press

  • Place of publication

    New York

  • Event location

    Madrid

  • Event date

    Oct 1, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000458872703137