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  • 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.
  • 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. (en)
Title
  • Self-organizing map for determination of goal candidates in mobile robot exploration
  • Self-organizing map for determination of goal candidates in mobile robot exploration (en)
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  • Self-organizing map for determination of goal candidates in mobile robot exploration
  • Self-organizing map for determination of goal candidates in mobile robot exploration (en)
skos:notation
  • RIV/68407700:21230/14:00225411!RIV15-GA0-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GP13-18316P)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 44340
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/14:00225411
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • mobile exploration; self-organizing map (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [A4FEAA430427]
http://linked.open...v/mistoKonaniAkce
  • Bruges
http://linked.open...i/riv/mistoVydani
  • Louvain la Neuve
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Faigl, Jan
  • Kulich, Miroslav
  • Vaněk, Petr
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Ciaco - i6doc.com
https://schema.org/isbn
  • 978-2-87419-095-7
http://localhost/t...ganizacniJednotka
  • 21230
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