Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Taobo Cheng"'
Publikováno v:
IEEE Access, Vol 10, Pp 132506-132514 (2022)
Quality and feature quantity of low- and high-resolution image pairs for training are directly related to performance of learning-based super-resolution methods. In order to accurately increase learning features to the low- and high-resolution image
Externí odkaz:
https://doaj.org/article/23cf1841287b43f68aba25bb5beeac9c
Publikováno v:
IEEE Access, Vol 7, Pp 159022-159036 (2019)
Learning movement primitive from unstructured demonstrations has become a popular topic in recent years, which provides a natural way to endow human-inspired skills to robots. The main idea of movement primitives is that should suffice to reconstruct
Externí odkaz:
https://doaj.org/article/b3974b9962bc4f1fb110e2d2e8b45db6
Publikováno v:
Applied Sciences, Vol 10, Iss 23, p 8350 (2020)
With the development of Industry 4.0, additive manufacturing will be widely used to produce customized components. However, it is rather time-consuming and expensive to produce components with sound structure and good mechanical properties using addi
Externí odkaz:
https://doaj.org/article/3c24c6aade01424896c144d9fb663695
This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 19:3628-3638
Robot Learning from humans is a promising paradigm for directly transferring human skills to robots. This learning allows robots to encapsulate task constraints and motion patterns from human demonstrations as well as acquire skills that can be adapt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8e01cdb9607baaacf4aee550264243a
https://doi.org/10.1109/tase.2021.3127574
https://doi.org/10.1109/tase.2021.3127574
Publikováno v:
IEEE Transactions on Industrial Electronics. 68:1525-1536
Accurate position-force control is a core and challenging problem in robotics, especially for manipulators with redundant degrees of freedom (DOFs). For example, trajectory tracking-based control usually fails for grinding robots due to intolerable i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab83af1645cefda68f5bf6a5417a5470
https://doi.org/10.1109/tie.2020.2970635
https://doi.org/10.1109/tie.2020.2970635
Autor:
Taobo Cheng, Zetao Huang, Shoubin Dong, Yongrou Zhang, Zejia Liu, Liqun Tang, Yiping Liu, Xuefeng Zhou
Publikováno v:
Biophys J
The microstructure of the extracellular matrix (ECM) plays a key role in affecting cell migration, especially nonproteolytic migration. It is difficult, however, to measure some properties of the ECM, such as stiffness and the passability for cell mi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ab329d13999557cb4e70b72dca5fe66
https://doi.org/10.1016/j.bpj.2020.07.032
https://doi.org/10.1016/j.bpj.2020.07.032
Publikováno v:
Journal of Intelligent & Robotic Systems. 104
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::518e65a05268b40c450c697dc5718e30
https://doi.org/10.1007/s10846-021-01496-x
https://doi.org/10.1007/s10846-021-01496-x
Publikováno v:
Neurocomputing. 357:271-281
Force control is of great significance in the field of robotic control, for example, in tasks which requires precise control of contact force between robot and the environment, traditional path-tracking based methods may hardly achieve expected perfo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::348980326b2c305f503b4b8378e1e6d4
https://doi.org/10.1016/j.neucom.2019.04.069
https://doi.org/10.1016/j.neucom.2019.04.069
Publikováno v:
Neurocomputing. 329:255-266
Redundant design can greatly improve the flexibility of robot manipulators, but may suffer from potential limitations such as system complicity, model uncertainties, physical limitations, which make it challenging to achieve accurate tracking. In thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::002ec343db4f20843471d8a899d725e0
https://doi.org/10.1016/j.neucom.2018.11.001
https://doi.org/10.1016/j.neucom.2018.11.001