The intelligent hand: an experimental approach to human object recognition and implications for robotics and AI
Identifieur interne : 009309 ( Main/Exploration ); précédent : 009308; suivant : 009310The intelligent hand: an experimental approach to human object recognition and implications for robotics and AI
Auteurs : S. J. Lederman ; R. L. KlatzkySource :
- AI magazine [ 0738-4602 ] ; 1994.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Intelligence artificielle, Robotique.
English descriptors
- KwdEn :
Abstract
The information in this article was originally presented as a keynote invited talk by Susan Lederman at the Thirteenth International Joint Conference on Artificial Intelligence in Chambery, France; it is based primarily on a joint research program that we conducted. We explain how the scientific study of biological systems offers a complementary approach to the more formal analytic methods favored by roboticists; such study is also relevant to a number of classical problems addressed by the AI field. We offer an example of the scientific approach that is based on a selection of our experiments and empirically driven theoretical work on human haptic (tactual) object processing; the nature and role of active manual exploration is of particular concern
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PascalFrancis, to step Corpus: 001742
- to stream PascalFrancis, to step Curation: 001379
- to stream PascalFrancis, to step Checkpoint: 001501
- to stream Main, to step Merge: 009C86
- to stream Main, to step Curation: 009309
Le document en format XML
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<term>Stratégie</term>
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<front><div type="abstract" xml:lang="en">The information in this article was originally presented as a keynote invited talk by Susan Lederman at the Thirteenth International Joint Conference on Artificial Intelligence in Chambery, France; it is based primarily on a joint research program that we conducted. We explain how the scientific study of biological systems offers a complementary approach to the more formal analytic methods favored by roboticists; such study is also relevant to a number of classical problems addressed by the AI field. We offer an example of the scientific approach that is based on a selection of our experiments and empirically driven theoretical work on human haptic (tactual) object processing; the nature and role of active manual exploration is of particular concern</div>
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