Impedance learning for robotic contact tasks using natural actor-critic algorithm
Compared with their robotic counterparts, humans excel at various tasks by using their ability to adaptively modulate arm impedance parameters. This ability allows us to successfully perform contact tasks even in uncertain environments. This paper considers a learning strategy of motor skill for rob...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. - 1996. - 40(2010), 2 vom: 01. Apr., Seite 433-43
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1. Verfasser: |
Kim, Byungchan
(VerfasserIn) |
Weitere Verfasser: |
Park, Jooyoung,
Park, Shinsuk,
Kang, Sungchul |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2010
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Zugriff auf das übergeordnete Werk: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
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Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |