A Cognitive Architecture for Robotic Hand Posture Learning (Articolo in rivista)

Type
Label
  • A Cognitive Architecture for Robotic Hand Posture Learning (Articolo in rivista) (literal)
Anno
  • 2005-01-01T00:00:00+01:00 (literal)
Alternative label
  • Chella Antonio, Dindo Haris, Infantino Ignazio, Macaluso Irene (2005)
    A Cognitive Architecture for Robotic Hand Posture Learning
    in IEEE transactions on systems, man and cybernetics. Part C, Applications and reviews (Online)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Chella Antonio, Dindo Haris, Infantino Ignazio, Macaluso Irene (literal)
Pagina inizio
  • 42 (literal)
Pagina fine
  • 52 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 35-1 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • in press ISSN 1094-6977 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • ICAR-CNR, Università di Palermo (literal)
Titolo
  • A Cognitive Architecture for Robotic Hand Posture Learning (literal)
Abstract
  • This paper deals with the design and implementation of a visual control of a robotic system composed of a dexterous hand and video camera. The aim of the proposed system is to reproduce the movements of a human hand in order to learn complex manipulation tasks or to interact with the user. A novel algorithm for robust and fast fingertips localization and tracking is presented. A suitable kinematic hand model is adopted to achieve a fast and acceptable solution to an inverse kinematics problem. The system is part of a cognitive architecture for posture learning that integrates the perceptions by a high-level representation of the scene and of the observed actions. The anthropomorphic robotic hand imitates the gestures acquired by the vision system in order to learn meaningful movements, to build its knowledge by different conceptual spaces, and to perform complex interactions with the human operator. (literal)
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