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EnglishThe 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.
Chella, A., Dindo, H., Infantino, I., & Macaluso, I. (2004). A Posture Sequence Learning System for an Anthropomorphic Robotic Hand. ROBOTICS AND AUTONOMOUS SYSTEMS, 47, 143-152.
| Data di pubblicazione: | 2004 |
| Titolo: | A Posture Sequence Learning System for an Anthropomorphic Robotic Hand |
| Autori: | |
| Citazione: | Chella, A., Dindo, H., Infantino, I., & Macaluso, I. (2004). A Posture Sequence Learning System for an Anthropomorphic Robotic Hand. ROBOTICS AND AUTONOMOUS SYSTEMS, 47, 143-152. |
| Rivista: | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1016/j.robot.2004.03.008 |
| 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. |
| Settore Scientifico Disciplinare: | Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni |
| Appare nelle tipologie: | 1.01 Articolo in rivista |
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http://hdl.handle.net/10447/56298
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