Zobrazeno 1 - 10
of 26
pro vyhledávání: '"soft robotic hands"'
Publikováno v:
BMC Neurology, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Background Few studies focused on the risk factors for hand rehabilitation of intracerebral hemorrhage (ICH) using of soft robotic hand therapy (SRHT). The aim of this study was to establish a predictive nomogram for soft robotic hand rehabi
Externí odkaz:
https://doaj.org/article/42f35c3f99be469299f83c5450330c6b
Akademický článek
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Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
Grasping and dexterous manipulation remain fundamental challenges in robotics, above all when performed with multifingered robotic hands. Having simulation tools to design and test grasp and manipulation control strategies is paramount to get functio
Externí odkaz:
https://doaj.org/article/08ae04c5c2ae46c3a25c0d725312fdb0
Autor:
Joao Bimbo, Enrico Turco, Mahdi Ghazaei Ardakani, Maria Pozzi, Gionata Salvietti, Valerio Bo, Monica Malvezzi, Domenico Prattichizzo
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2019)
This paper presents a method to grasp objects that cannot be picked directly from a table, using a soft, underactuated hand. These grasps are achieved by dragging the object to the edge of a table, and grasping it from the protruding part, performing
Externí odkaz:
https://doaj.org/article/4dc8035495e84998b6b7ab00b9727c81
Akademický článek
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Autor:
Joao Bimbo, Gionata Salvietti, Domenico Prattichizzo, Monica Malvezzi, Sara Marullo, Maria Pozzi
Publikováno v:
The International Journal of Robotics Research. 39:1706-1723
Automating the act of grasping is one of the most compelling challenges in robotics. In recent times, a major trend has gained the attention of the robotic grasping community: soft manipulation. Along with the design of intrinsically soft robotic han
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f331047aa282b799d87d830dafe584b8
https://doi.org/10.1177/0278364920947469
https://doi.org/10.1177/0278364920947469
Grasping and dexterous manipulation remain fundamental challenges in robotics, above all when performed with multifingered robotic hands. Having simulation tools to design and test grasp and manipulation control strategies is paramount to get functio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cbefee5cb9845fafcab48c4470288e4
https://hdl.handle.net/11391/1534133
https://hdl.handle.net/11391/1534133
Akademický článek
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Learning to Prevent Grasp Failure with Soft Hands: From Online Prediction to Dual‐Arm Grasp Recovery
Autor:
Irene Valdambrini, Davide Bacciu, Giuseppe Averta, Paolo Cheli, Federica Barontini, Matteo Bianchi
Publikováno v:
Advanced Intelligent Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26d025eafd8478708dc9a130f435c22c
https://doi.org/10.1002/aisy.202100146
https://doi.org/10.1002/aisy.202100146
Autor:
Gionata Salvietti, Domenico Prattichizzo, Valerio Bo, Joao Bimbo, M. Mahdi Ghazaei Ardakani, Enrico Turco, Monica Malvezzi, Maria Pozzi
Publikováno v:
Frontiers in Robotics and AI
Frontiers in Robotics and AI, Vol 6 (2019)
Frontiers in Robotics and AI, Vol 6 (2019)
This paper presents a method to grasp objects that cannot be picked directly from a table, using a soft, underactuated hand. These grasps are achieved by dragging the object to the edge of a table, and grasping it from the protruding part, performing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d2b3fd514af2820b81b9bb9f38f4302
https://pubmed.ncbi.nlm.nih.gov/33501150
https://pubmed.ncbi.nlm.nih.gov/33501150