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pro vyhledávání: '"Benoni B"'
The study of dexterous manipulation has provided important insights in humans sensorimotor control as well as inspiration for manipulation strategies in robotic hands. Previous work focused on experimental environment with restrictions. Here we descr
Externí odkaz:
http://arxiv.org/abs/1909.05659
Grip control during robotic in-hand manipulation is usually modeled as part of a monolithic task, relying on complex controllers specialized for specific situations. Such approaches do not generalize well and are difficult to apply to novel manipulat
Externí odkaz:
http://arxiv.org/abs/1806.05031
Akademický článek
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Publikováno v:
BMJ: British Medical Journal, 2013 Mar . 346(7899), 15-15.
Externí odkaz:
https://www.jstor.org/stable/23493977
Autor:
Edin, Benoni B.
Publikováno v:
Synthese, 2008 Mar 01. 161(2), 203-218.
Externí odkaz:
https://www.jstor.org/stable/27653689
Autor:
Philippe Lefèvre, Benoni B. Edin, Benoit P. Delhaye, Allan Barrea, Ewa Jarocka, Jean-Louis Thonnard
Publikováno v:
eLife, Vol 10 (2021)
eLife
eLife, Vol. 10 (2021)
eLife
eLife, Vol. 10 (2021)
Human tactile afferents provide essential feedback for grasp stability during dexterous object manipulation. Interacting forces between an object and the fingers induce slip events that are thought to provide information about grasp stability. To gai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a00f698fafe1d72664aef45628ebe6a0
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-183568
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-183568
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 6, p 1748 (2020)
Sensors
Volume 20
Issue 6
Sensors, Vol 20, Iss 6, p 1748 (2020)
Sensors
Volume 20
Issue 6
Grip force control during robotic in-hand manipulation is usually modeled as a monolithic task, where complex controllers consider the placement of all fingers and the contact states between each finger and the gripped object in order to compute the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5178cdc360739bd5af0c3d030f69122a
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-171332
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-171332
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Understanding the neurophysiological signals underlying voluntary motor control and decoding them for controlling limb prostheses is one of the major challenges in applied neuroscience and rehabilitation engineering. While pattern recognition of cont
Akademický článek
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