Learning control of robot
The emulation of human learning has long been among the most sought after goals in the research of robotics and artificial intelligence. Human beings have the ability to learn from experience. A mechanical robot today can also learn from the past operation data to improve its performance. In this pr...
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2011
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| Institution: | Nanyang Technological University |
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sg-ntu-dr.10356-456512023-07-07T15:57:09Z Learning control of robot Lo, Kenneth Yih Hung. Cheah Chien Chern School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics The emulation of human learning has long been among the most sought after goals in the research of robotics and artificial intelligence. Human beings have the ability to learn from experience. A mechanical robot today can also learn from the past operation data to improve its performance. In this project, a learning controller based on neural network will be designed and implemented on an industrial robot. Given a desired trajectory in task space, the learning controller is able to learn and eventually drive the closed loop system to follow the trajectory as the actions are repeated. Bachelor of Engineering 2011-06-16T00:48:13Z 2011-06-16T00:48:13Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/45651 en Nanyang Technological University 83 p. application/pdf |
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Nanyang Technological University |
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NTU Library |
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Asia |
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Singapore Singapore |
| content_provider |
NTU Library |
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English |
| topic |
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics |
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DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics Lo, Kenneth Yih Hung. Learning control of robot |
| description |
The emulation of human learning has long been among the most sought after goals in the research of robotics and artificial intelligence. Human beings have the ability to learn from experience. A mechanical robot today can also learn from the past operation data to improve its performance. In this project, a learning controller based on neural network will be designed and implemented on an industrial robot. Given a desired trajectory in task space, the learning controller is able to learn and eventually drive the closed loop system to follow the trajectory as the actions are repeated. |
| author2 |
Cheah Chien Chern |
| author_facet |
Cheah Chien Chern Lo, Kenneth Yih Hung. |
| format |
Final Year Project |
| author |
Lo, Kenneth Yih Hung. |
| author_sort |
Lo, Kenneth Yih Hung. |
| title |
Learning control of robot |
| title_short |
Learning control of robot |
| title_full |
Learning control of robot |
| title_fullStr |
Learning control of robot |
| title_full_unstemmed |
Learning control of robot |
| title_sort |
learning control of robot |
| publishDate |
2011 |
| url |
http://hdl.handle.net/10356/45651 |
| _version_ |
1772825930195009536 |