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A brief review of neural networks based learning and control and their applications for robots
journal contribution
posted on 2023-06-09, 09:22 authored by Yiming Jiang, Chenguang Yang, Jing Na, Guang Li, Yanan LiYanan Li, Junpei ZhongAs an imitation of the biological nervous systems, neural networks (NN), which are characterized with powerful learning ability, have been employed in a wide range of applications, such as control of complex nonlinear systems, optimization, system identification and patterns recognition etc. This article aims to bring a brief review of the state-of-art NN for the complex nonlinear systems. Recent progresses of NNs in both theoretical developments and practical applications are investigated and surveyed. Specifically, NN based robot learning and control applications were further reviewed, including NN based robot manipulator control, NN based human robot interaction and NN based behavior recognition and generation.
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Publication status
- Published
File Version
- Accepted version
Journal
ComplexityISSN
1076-2787Publisher
Hindawi Publishing CorporationExternal DOI
Issue
189589Volume
2017Page range
1-14Department affiliated with
- Engineering and Design Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2017-12-15First Open Access (FOA) Date
2017-12-15First Compliant Deposit (FCD) Date
2017-12-14Usage metrics
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