A Posture Sequence Learning System for an Anthropomorphic Robotic Hand

Antonio Chella, Haris Dindo, Irene Macaluso, Antonio Chella, Haris Ďzindo, Ignazio Infantino, Irene Macaluso

Risultato della ricerca: Articlepeer review

14 Citazioni (Scopus)

Abstract

The paper presents a cognitive architecture for posture learning of an anthropomorphic robotic hand. Our approach is aimed to allow the robotic system to perform complex perceptual operations, to interact with a human user and to integrate the perceptions by a cognitive representation of the scene and 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 interaction with the human operator.
Lingua originaleEnglish
pagine (da-a)143-152
Numero di pagine10
RivistaRobotics and Autonomous Systems
Volume47
Stato di pubblicazionePublished - 2004

All Science Journal Classification (ASJC) codes

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  • ???subjectarea.asjc.1700.1712???
  • ???subjectarea.asjc.2600.2600???
  • ???subjectarea.asjc.1700.1706???

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