Synthesis of autonomous robots through evolution (Articolo in rivista)

Type
Label
  • Synthesis of autonomous robots through evolution (Articolo in rivista) (literal)
Anno
  • 2002-01-01T00:00:00+01:00 (literal)
Alternative label
  • Nolfi S., Floreano D. (2002)
    Synthesis of autonomous robots through evolution
    in Trends in cognitive sciences (Regul. ed.)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Nolfi S., Floreano D. (literal)
Pagina inizio
  • 31 (literal)
Pagina fine
  • 37 (literal)
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  • 6 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
  • Evolutionary robotics is the attempt to develop robots through a self-organized process based on artificial evolution. This approach stresses the importance of the study of systems that have a body and that are situated in a physical environment, and which autonomously develop their own skills in close interaction with the environment. In this review we briefly illustrate the method and the main concept of evolutionary robotics, and examine the most significant contribution in this area. We also discuss some of the contributions that this research area is making to the foundational debate in cognitive science. (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Stefano Nolfi, Institute of Cognitive Sciences and Technologies National Research Council, Viale Marx 15, 00137, Rome, Italy Dario Floreano, Evolutionary and Adaptive Systems, Institute of Robotics, Swiss Federal Institute of Technology EPLF, CH 1015, Lausanne, Switzerland (literal)
Titolo
  • Synthesis of autonomous robots through evolution (literal)
Abstract
  • Evolutionary robotics is the attempt to develop robots through a self- organized process based on artificial evolution. This approach stresses the importance of the study of systems that: (1) have a body and are situated in a physical environment, and (2) autonomously develop their own skills in close interaction with the environment. In this article we will briefly illustrate the method and the main idea, we will review the most significant contribution in this area and finally, we will discuss some of the contributions that this research area is making to the foundational debate in cognitive science. (literal)
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