Fuzzy logic based behaviors blending for intelligent reactive navigation of walking robot

The reaction of an autonomous mobile robot to dynamic, uncertain, and changeable environments is one of most difficult issues in control of intelligent autonomous robot movement. Fuzzy control appears as a very useful tool for handling intelligent reactive navigation. The present work deals with bui...

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Main Authors: Al-Jumaily, Adel Ali S., Amin, Shamsudin H. M.
Format: Article
Language:English
Published: 1999
Subjects:
Online Access:http://eprints.utm.my/id/eprint/1958/1/Al-Jumaily1999_FuzzyLogicBasedBehaviorsBlendingForIntelligent.pdf
http://eprints.utm.my/id/eprint/1958/
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spelling my.utm.19582010-06-01T02:59:54Z http://eprints.utm.my/id/eprint/1958/ Fuzzy logic based behaviors blending for intelligent reactive navigation of walking robot Al-Jumaily, Adel Ali S. Amin, Shamsudin H. M. TK Electrical engineering. Electronics Nuclear engineering The reaction of an autonomous mobile robot to dynamic, uncertain, and changeable environments is one of most difficult issues in control of intelligent autonomous robot movement. Fuzzy control appears as a very useful tool for handling intelligent reactive navigation. The present work deals with building of fuzzy behavior based reactive navigation for obstacle avoidance, and proposes a method to blend and coordinate multi-behaviors at the same time. This method using a fuzzy technique and fixed priority value to reflect the importance of the behavior. We have built our simulation and animation programs that can reflect online the robot movement using a graphical user interface 1999-08-22 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/1958/1/Al-Jumaily1999_FuzzyLogicBasedBehaviorsBlendingForIntelligent.pdf Al-Jumaily, Adel Ali S. and Amin, Shamsudin H. M. (1999) Fuzzy logic based behaviors blending for intelligent reactive navigation of walking robot. Fifth International Symposium on Signal Processing and its Applications,ISSPA'99, 1 . pp. 155-158.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Al-Jumaily, Adel Ali S.
Amin, Shamsudin H. M.
Fuzzy logic based behaviors blending for intelligent reactive navigation of walking robot
description The reaction of an autonomous mobile robot to dynamic, uncertain, and changeable environments is one of most difficult issues in control of intelligent autonomous robot movement. Fuzzy control appears as a very useful tool for handling intelligent reactive navigation. The present work deals with building of fuzzy behavior based reactive navigation for obstacle avoidance, and proposes a method to blend and coordinate multi-behaviors at the same time. This method using a fuzzy technique and fixed priority value to reflect the importance of the behavior. We have built our simulation and animation programs that can reflect online the robot movement using a graphical user interface
format Article
author Al-Jumaily, Adel Ali S.
Amin, Shamsudin H. M.
author_facet Al-Jumaily, Adel Ali S.
Amin, Shamsudin H. M.
author_sort Al-Jumaily, Adel Ali S.
title Fuzzy logic based behaviors blending for intelligent reactive navigation of walking robot
title_short Fuzzy logic based behaviors blending for intelligent reactive navigation of walking robot
title_full Fuzzy logic based behaviors blending for intelligent reactive navigation of walking robot
title_fullStr Fuzzy logic based behaviors blending for intelligent reactive navigation of walking robot
title_full_unstemmed Fuzzy logic based behaviors blending for intelligent reactive navigation of walking robot
title_sort fuzzy logic based behaviors blending for intelligent reactive navigation of walking robot
publishDate 1999
url http://eprints.utm.my/id/eprint/1958/1/Al-Jumaily1999_FuzzyLogicBasedBehaviorsBlendingForIntelligent.pdf
http://eprints.utm.my/id/eprint/1958/
_version_ 1643643463086899200
score 13.160551