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http://hdl.handle.net/123456789/16667
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DC Field | Value | Language |
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dc.contributor.author | Yusman Yusof, H. M.Asri H. Mansor | - |
dc.contributor.author | H. M.Dani Baba | - |
dc.date.accessioned | 2017-10-09T04:15:16Z | - |
dc.date.available | 2017-10-09T04:15:16Z | - |
dc.date.issued | 2017-10-09 | - |
dc.identifier.uri | http://ir.unikl.edu.my/jspui/handle/123456789/16667 | - |
dc.description.abstract | An autonomous system constructed using written computer programs based on human expert knowledge only handles anticipated and verified states. On the other hand, a self-learning algorithm allows an autonomous system to instinctively acquire knowledge, learn from experience and be more prepared to expect the unexpected. A novel hybrid self-learning algorithm which combines reinforcement and unsupervised weightless neural network algorithm learning was formulated. The self-learning algorithm was applied to an autonomous mobile robot navigation system in simulation and physical world. The result shows that the simulated and physical robot possesses the ability to self-learn by acquiring knowledge, learn and record experience without having prior information on the environment. The mobile robot was able to distinguish different types of obstacles i.e. corners and walls; and generate complex control sequences of actions in order to avoid these obstacles. | en_US |
dc.subject | Reinforcement Learning | en_US |
dc.subject | Q-learning | en_US |
dc.subject | AutoWiSARD | en_US |
dc.subject | Autonomous Navigation | en_US |
dc.subject | Unsupervised Learning | en_US |
dc.subject | Weightless Neural Network | en_US |
dc.subject | LeJOS | en_US |
dc.subject | Lego Mindstroms | en_US |
dc.title | Applying hybrid reinforcement and unsupervised weightless neural network learning algorithm on autonomous mobile robot navigation | en_US |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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Applying hybrid reinforcement and unsupervised weightless neural network learning algorithm on autonomous mobile robot navigation.pdf | 6.51 kB | Adobe PDF | View/Open |
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