Designing adaptive humanoid robots through the FARSA open-source framework (Articolo in rivista)

Type
Label
  • Designing adaptive humanoid robots through the FARSA open-source framework (Articolo in rivista) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1177/1059712314536909 (literal)
Alternative label
  • Massera G.; Ferrauto T.; Gigliotta O.; Nolfi S. (2014)
    Designing adaptive humanoid robots through the FARSA open-source framework
    in Adaptive behavior (Online)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Massera G.; Ferrauto T.; Gigliotta O.; Nolfi S. (literal)
Pagina inizio
  • 255 (literal)
Pagina fine
  • 265 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.scopus.com/inward/record.url?eid=2-s2.0-84905039908&partnerID=q2rCbXpz (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 22 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 4 (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Institute of Cognitive Sciences and Technologies, CNR, Rome, Italy; NAC Laboratory, Department of Humanities, University of Naples Federico II, Naples, Italy (literal)
Titolo
  • Designing adaptive humanoid robots through the FARSA open-source framework (literal)
Abstract
  • We introduce FARSA, an open-source Framework for Autonomous Robotics Simulation and Analysis, that allows us to easily set up and carry on adaptive experiments involving complex robot/environmental models. Moreover, we show how a simulated iCub robot can be trained, through an evolutionary algorithm, to display reaching and integrated reaching and grasping behaviours. The results demonstrate how the use of an implicit selection criterion, estimating the extent to which the robot is able to produce the expected outcome without specifying the manner through which the action should be realized, is sufficient to develop the required capabilities despite the complexity of the robot and of the task. © The Author(s) 2014. (literal)
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