Understanding haptics by evolving mechatronic systems.
Identifieur interne : 002919 ( Main/Merge ); précédent : 002918; suivant : 002920Understanding haptics by evolving mechatronic systems.
Auteurs : Gerald E. Loeb [États-Unis] ; George A. Tsianos ; Jeremy A. Fishel ; Nicholas Wettels ; Stefan SchaalSource :
- Progress in brain research [ 1875-7855 ] ; 2011.
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Abstract
Haptics can be defined as the characterization and identification of objects by voluntary exploration and somatosensory feedback. It requires multimodal sensing, motor dexterity, and high levels of cognitive integration with prior experience and fundamental concepts of self versus external world. Humans have unique haptic capabilities that enable tool use. Experimental animals have much poorer capabilities that are difficult to train and even more difficult to study because they involve rapid, subtle, and variable movements. Robots can now be constructed with biomimetic sensing and dexterity, so they may provide a suitable platform on which to test theories of haptics. Robots will need to embody such theories if they are ever going to realize the long-standing dream of working alongside humans using the same tools and objects.
DOI: 10.1016/B978-0-444-53355-5.00009-9
PubMed: 21763523
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pubmed:21763523Le document en format XML
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Fishel</name></author><author><name sortKey="Wettels, Nicholas" sort="Wettels, Nicholas" uniqKey="Wettels N" first="Nicholas" last="Wettels">Nicholas Wettels</name></author><author><name sortKey="Schaal, Stefan" sort="Schaal, Stefan" uniqKey="Schaal S" first="Stefan" last="Schaal">Stefan Schaal</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2011">2011</date><idno type="doi">10.1016/B978-0-444-53355-5.00009-9</idno><idno type="RBID">pubmed:21763523</idno><idno type="pmid">21763523</idno><idno type="wicri:Area/PubMed/Corpus">000E30</idno><idno type="wicri:Area/PubMed/Curation">000E30</idno><idno type="wicri:Area/PubMed/Checkpoint">000C33</idno><idno type="wicri:Area/Ncbi/Merge">001B26</idno><idno type="wicri:Area/Ncbi/Curation">001B26</idno><idno type="wicri:Area/Ncbi/Checkpoint">001B26</idno><idno type="wicri:Area/Main/Merge">002919</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Understanding haptics by evolving mechatronic systems.</title><author><name sortKey="Loeb, Gerald E" sort="Loeb, Gerald E" uniqKey="Loeb G" first="Gerald E" last="Loeb">Gerald E. Loeb</name><affiliation wicri:level="4"><nlm:affiliation>Department of Biomedical Engineering, University of Southern California, Los Angeles, California, USA. gloeb@usc.edu</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Biomedical Engineering, University of Southern California, Los Angeles, California</wicri:regionArea><placeName><region type="state">Californie</region></placeName><orgName type="university">Université de Californie du Sud</orgName></affiliation></author><author><name sortKey="Tsianos, George A" sort="Tsianos, George A" uniqKey="Tsianos G" first="George A" last="Tsianos">George A. Tsianos</name></author><author><name sortKey="Fishel, Jeremy A" sort="Fishel, Jeremy A" uniqKey="Fishel J" first="Jeremy A" last="Fishel">Jeremy A. Fishel</name></author><author><name sortKey="Wettels, Nicholas" sort="Wettels, Nicholas" uniqKey="Wettels N" first="Nicholas" last="Wettels">Nicholas Wettels</name></author><author><name sortKey="Schaal, Stefan" sort="Schaal, Stefan" uniqKey="Schaal S" first="Stefan" last="Schaal">Stefan Schaal</name></author></analytic><series><title level="j">Progress in brain research</title><idno type="eISSN">1875-7855</idno><imprint><date when="2011" type="published">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms</term><term>Animals</term><term>Biomimetic Materials</term><term>Feedback, Sensory</term><term>Humans</term><term>Robotics</term><term>Touch (physiology)</term><term>Touch Perception (physiology)</term><term>User-Computer Interface</term><term>Vision, Ocular (physiology)</term><term>Visual Perception (physiology)</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Touch</term><term>Touch Perception</term><term>Vision, Ocular</term><term>Visual Perception</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Algorithms</term><term>Animals</term><term>Biomimetic Materials</term><term>Feedback, Sensory</term><term>Humans</term><term>Robotics</term><term>User-Computer Interface</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Haptics can be defined as the characterization and identification of objects by voluntary exploration and somatosensory feedback. It requires multimodal sensing, motor dexterity, and high levels of cognitive integration with prior experience and fundamental concepts of self versus external world. Humans have unique haptic capabilities that enable tool use. Experimental animals have much poorer capabilities that are difficult to train and even more difficult to study because they involve rapid, subtle, and variable movements. Robots can now be constructed with biomimetic sensing and dexterity, so they may provide a suitable platform on which to test theories of haptics. Robots will need to embody such theories if they are ever going to realize the long-standing dream of working alongside humans using the same tools and objects.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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