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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F14%3A00225411%21RIV15-GA0-21230___
rdf:type
skos:Concept n15:Vysledek
dcterms: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. 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.
dcterms: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
skos:prefLabel
Self-organizing map for determination of goal candidates in mobile robot exploration Self-organizing map for determination of goal candidates in mobile robot exploration
skos:notation
RIV/68407700:21230/14:00225411!RIV15-GA0-21230___
n3:aktivita
n8:P
n3:aktivity
P(GP13-18316P)
n3:dodaniDat
n5:2015
n3:domaciTvurceVysledku
n7:1695541 n7:7341520 n7:1402463
n3:druhVysledku
n13:D
n3:duvernostUdaju
n4:S
n3:entitaPredkladatele
n12:predkladatel
n3:idSjednocenehoVysledku
44340
n3:idVysledku
RIV/68407700:21230/14:00225411
n3:jazykVysledku
n14:eng
n3:klicovaSlova
mobile exploration; self-organizing map
n3:klicoveSlovo
n10:self-organizing%20map n10:mobile%20exploration
n3:kontrolniKodProRIV
[A4FEAA430427]
n3:mistoKonaniAkce
Bruges
n3:mistoVydani
Louvain la Neuve
n3:nazevZdroje
Proceedings of the 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
n3:obor
n21:JC
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n19:GP13-18316P
n3:rokUplatneniVysledku
n5:2014
n3:tvurceVysledku
Kulich, Miroslav Faigl, Jan Vaněk, Petr
n3:typAkce
n16:WRD
n3:zahajeniAkce
2014-04-23+02:00
s:numberOfPages
6
n17:hasPublisher
Ciaco - i6doc.com
n20:isbn
978-2-87419-095-7
n18:organizacniJednotka
21230