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Pregled bibliografske jedinice broj: 379479

Hybridization of adaptive genetic algorithm and ART 1 neural architecture for efficient path planning of a mobile robot


Ćurković, Petar; Jerbić, Bojan; Stipančić, Tomislav
Hybridization of adaptive genetic algorithm and ART 1 neural architecture for efficient path planning of a mobile robot // Transactions of FAMENA, 32 (2008), 2; 11-21 (međunarodna recenzija, članak, znanstveni)


Naslov
Hybridization of adaptive genetic algorithm and ART 1 neural architecture for efficient path planning of a mobile robot

Autori
Ćurković, Petar ; Jerbić, Bojan ; Stipančić, Tomislav

Izvornik
Transactions of FAMENA (1333-1124) 32 (2008), 2; 11-21

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Path planning; genetic algorithm; mobile robot; optimization; neural network

Sažetak
This paper presents a novel and efficient Knowledge Based Genetic Algorithm (KGA) developed for finding feasible paths in an environment containing arbitrarily distributed obstacles. Furthermore, the neural architecture is incorporated into the robot controller to enable the incremental learning of spatial distribution of obstacles and the formation of experience. Combining these two techniques enables the simulated robot to efficiently navigate through the space, to continuously increase the level of knowledge, and to reuse the experience formed by exploration. The approach is tested on a series of simulated robots and environments.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo



POVEZANOST RADA


Projekt / tema
120-1201948-1941 - AUTONOMNA VIŠEAGENTNA AUTOMATSKA MONTAŽA (Bojan Jerbić, )

Ustanove
Fakultet strojarstva i brodogradnje, Zagreb

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Uključenost u ostale bibliografske baze podataka:


  • Geobase
  • Journal Citation Reports/Science edition
  • CSA Engineering Research Database
  • Scopus