http://www.cnr.it/ontology/cnr/individuo/prodotto/ID47108
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)
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- http://dx.doi.org/10.1016/j.artint.2009.01.001 (literal)
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- 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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