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Self-organizing map for determination of goal candidates in mobile robot exploration

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00225411" target="_blank" >RIV/68407700:21230/14:00225411 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Self-organizing map for determination of goal candidates in mobile robot exploration

  • Original language description

    This paper addresses a problem of determining goal candidates in the frontier-based mobile robot exploration. The proposed solution is based on self-organizing map for the traveling salesman problem with neighborhoods and it allows to study the exploration formulated as a problem of repeated coverage of the current frontiers where the minimal number of goal candidates is determined simultaneously together with the expected cost to visit the candidates. The early results enabled by the proposed self-organizing map-based solution indicate exploration improvement for the proposed problem formulation. The presented work demonstrates how neural network approach can provide interesting insights and ground for studying optimizations problems arising in robotics.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GP13-18316P" target="_blank" >GP13-18316P: Self-Organizing Maps for Multi-Goal Path Planning Tasks</a><br>

  • Continuities

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

Others

  • Publication year

    2014

  • 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 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

  • ISBN

    978-2-87419-095-7

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    589-594

  • Publisher name

    Ciaco - i6doc.com

  • Place of publication

    Louvain la Neuve

  • Event location

    Bruges

  • Event date

    Apr 23, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article