Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Daoxiong Gong"'
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 18 (2021)
Pneumatic artificial muscles (PAMs) are expected to play an important role in endowing the advanced robot with the compliant manipulation, which is very important for a robot to coexist and cooperate with humans. However, the strong nonlinear charact
Externí odkaz:
https://doaj.org/article/2d47665eca0346bfae51141285075d72
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 15 (2019)
A feature subset discernibility hybrid evaluation method using Fisher score based on joint feature and support vector machine is proposed for the feature selection problem of the upper limb rehabilitation training motion of Brunnstrom 4–5 stage pat
Externí odkaz:
https://doaj.org/article/b7f3ffaaca46466498429dcdce156f77
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 15 (2018)
Heterogeneous master–slave robots are widely used as both the assistive robot system for the elder/disabled people and the teleoperation robot system in dangerous environments. For the sake of intuitive teleoperation, motion mapping should be appli
Externí odkaz:
https://doaj.org/article/fdb1e6b828d7476781dda1ea951c68f9
Publikováno v:
Sensors, Vol 17, Iss 11, p 2592 (2017)
Tactile sensors of comprehensive functions are urgently needed for the advanced robot to co-exist and co-operate with human beings. Pneumatic tactile sensors based on air bladder possess some noticeable advantages for human-robot interaction applicat
Externí odkaz:
https://doaj.org/article/fdccf2d94da64753be55a8aab93b5d8c
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2010 (2010)
Gait generation is very important as it directly affects the quality of locomotion of legged robots. As this is an optimization problem with constraints, it readily lends itself to Evolutionary Computation methods and solutions. This paper reviews th
Externí odkaz:
https://doaj.org/article/ef4e784fef4746bd80f46037956a6f58
Publikováno v:
Cognitive Computation. 15:36-49
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2aa0582aa483334b37a46cbf127c203
https://doi.org/10.1007/s12559-022-10047-x
https://doi.org/10.1007/s12559-022-10047-x
Publikováno v:
Applied Intelligence. 52:9885-9898
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc03fc960a773cb8db844efae0bc9677
https://doi.org/10.1007/s10489-021-02953-8
https://doi.org/10.1007/s10489-021-02953-8
Publikováno v:
Neurocomputing. 457:365-376
The aim of generative adversarial imitation learning (GAIL) is to allow an agent to learn an optimal policy from demonstrations via an adversarial training process. However, previous works have not considered a realistic setting for complex continuou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e58a9dc36af9f3bfc79eb544a8d9fe7e
https://doi.org/10.1016/j.neucom.2021.06.053
https://doi.org/10.1016/j.neucom.2021.06.053
Autor:
Daoxiong, Gong, Jianjun, Yu
Publikováno v:
Rehabilitation of the Human Bone-Muscle System
The McKibben Pneumatic Artificial Muscles (PAMs) are expected to endow the advanced robots with the ability of coexisting and cooperating with humans. However, the application of PAMs is still severely hindered by some critical issues. Focusing on th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::611685326f4fe4337beab84e8d84ab2a
https://doi.org/10.5772/intechopen.101761
https://doi.org/10.5772/intechopen.101761
Publikováno v:
2022 12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d93f467de75a03d407fede87d160581a
https://doi.org/10.1109/cyber55403.2022.9907615
https://doi.org/10.1109/cyber55403.2022.9907615