Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Junpei Zhong"'
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2019)
Impedance control has been widely used in robotic applications where a robot has physical interaction with its environment. However, how the impedance parameters are adapted according to the context of a task is still an open problem. In this paper,
Externí odkaz:
https://doaj.org/article/80a106fc0e67409bb57b29f0735e64bb
Publikováno v:
Complexity, Vol 2019 (2019)
Externí odkaz:
https://doaj.org/article/c56b8e72ec684762a73e14bd798d000a
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 15 (2018)
Learning from demonstration, as an important component of imitation learning, is a paradigm for robot to learn new tasks. Considering the application of learning from demonstration in the navigation issue, the robot can also acquire the navigation ta
Externí odkaz:
https://doaj.org/article/628fd244e2fc4880a1802a1eb7df282c
Publikováno v:
Complexity, Vol 2018 (2018)
Externí odkaz:
https://doaj.org/article/24f82507687f4daaafb6589e0c6955f4
Publikováno v:
Complexity, Vol 2018 (2018)
Studies suggest that, within the hierarchical architecture, the topological higher level possibly represents the scenarios of the current sensory events with slower changing activities. They attempt to predict the neural activities on the lower level
Externí odkaz:
https://doaj.org/article/666de92d7f164cefb107373b74564dfd
Publikováno v:
Complexity, Vol 2017 (2017)
As an imitation of the biological nervous systems, neural networks (NNs), which have been characterized as powerful learning tools, are employed in a wide range of applications, such as control of complex nonlinear systems, optimization, system ident
Externí odkaz:
https://doaj.org/article/b8024d66d28c4888b7f29e784b443db1
Publikováno v:
Complexity, Vol 2017 (2017)
Skill learning autonomously through interactions with the environment is a crucial ability for intelligent robot. A perception-action integration or sensorimotor cycle, as an important issue in imitation learning, is a natural mechanism without the c
Externí odkaz:
https://doaj.org/article/96519cb5cb5443e2842c4dd6ea90fdce