Strengths and synergies of evolved and designed controllers: a study within collective robotics (Articolo in rivista)

Type
Label
  • Strengths and synergies of evolved and designed controllers: a study within collective robotics (Articolo in rivista) (literal)
Anno
  • 2009-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.artint.2009.01.001 (literal)
Alternative label
  • Baldassarre G., Nolfi S. (2009)
    Strengths and synergies of evolved and designed controllers: a study within collective robotics
    in Artificial intelligence (Gen. ed.); ELSEVIER, NEW YORK (Stati Uniti d'America)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Baldassarre G., Nolfi S. (literal)
Pagina inizio
  • 857 (literal)
Pagina fine
  • 875 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://dx.doi.org/10.1016/j.artint.2009.01.001 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 173 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 19 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 7-8 (literal)
Note
  • Scopu (literal)
  • ISI Web of Science (WOS) (literal)
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto di scienze e tecnologie della cognizione (literal)
Titolo
  • Strengths and synergies of evolved and designed controllers: a study within collective robotics (literal)
Abstract
  • This paper analyses the strengths and weaknesses of self-organising approaches, such as evolutionary ro-botics, and direct design approaches, such as behav-iour-based controllers, for the production of autono-mous robots' controllers, and shows how the two approaches can be usefully combined. In particular, the paper proposes a method for encoding evolved neural-network based behaviours into motor schema-based controllers and then shows how these control-lers can be modified and combined to produce robots capable of solving new tasks. The method has been validated in the context of a collective robotics sce-nario in which a group of physically assembled simulated autonomous robots are requested to pro-duce different forms of coordinated behaviours (e.g., coordinated motion, walled-arena exiting, and light pursuing). (literal)
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