Fuzzy reinforcement learning and its applications to mobile robot navigation

Fuzzy logic is a mathematical approach to emulate the human way of thinking. It has been shown that fuzzy logic could serve as a powerful methodology for dealing with imprecision and nonlinearity efficiently. However, the conventional way of designing a fuzzy system has been a subjective approach. I...

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Bibliographic Details
Main Author:	Deng, Chang
Other Authors:	Er Meng Joo
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
Online Access:	https://hdl.handle.net/10356/4204
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Institution:	Nanyang Technological University

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spelling	sg-ntu-dr.10356-42042023-07-04T16:59:13Z Fuzzy reinforcement learning and its applications to mobile robot navigation Deng, Chang Er Meng Joo School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics Fuzzy logic is a mathematical approach to emulate the human way of thinking. It has been shown that fuzzy logic could serve as a powerful methodology for dealing with imprecision and nonlinearity efficiently. However, the conventional way of designing a fuzzy system has been a subjective approach. If the fuzzy system somehow possesses learning abilities, an enormous amount of human efforts would be saved from tuning the system. DOCTOR OF PHILOSOPHY (EEE) 2008-09-17T09:46:38Z 2008-09-17T09:46:38Z 2005 2005 Thesis Deng, C. (2005). Fuzzy reinforcement learning and its applications to mobile robot navigation. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/4204 10.32657/10356/4204 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics Deng, Chang Fuzzy reinforcement learning and its applications to mobile robot navigation
description	Fuzzy logic is a mathematical approach to emulate the human way of thinking. It has been shown that fuzzy logic could serve as a powerful methodology for dealing with imprecision and nonlinearity efficiently. However, the conventional way of designing a fuzzy system has been a subjective approach. If the fuzzy system somehow possesses learning abilities, an enormous amount of human efforts would be saved from tuning the system.
author2	Er Meng Joo
author_facet	Er Meng Joo Deng, Chang
format	Theses and Dissertations
author	Deng, Chang
author_sort	Deng, Chang
title	Fuzzy reinforcement learning and its applications to mobile robot navigation
title_short	Fuzzy reinforcement learning and its applications to mobile robot navigation
title_full	Fuzzy reinforcement learning and its applications to mobile robot navigation
title_fullStr	Fuzzy reinforcement learning and its applications to mobile robot navigation
title_full_unstemmed	Fuzzy reinforcement learning and its applications to mobile robot navigation
title_sort	fuzzy reinforcement learning and its applications to mobile robot navigation
publishDate	2008
url	https://hdl.handle.net/10356/4204
_version_	1772826884003856384

Fuzzy reinforcement learning and its applications to mobile robot navigation

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