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...

Full description

Saved in:
Bibliographic Details
Main Authors: Al-Jumaily, Adel Ali S., Amin, Shamsudin H. M.
Format: Article
Language:en
Published: 1999
Subjects:
Online Access:http://eprints.utm.my/1958/1/Al-Jumaily1999_FuzzyLogicBasedBehaviorsBlendingForIntelligent.pdf
http://eprints.utm.my/1958/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1845470581844082688
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.
building UTM Library
collection Institutional Repository
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
continent Asia
country Malaysia
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
id my.utm.eprints-1958
institution Universiti Teknologi Malaysia
language en
publishDate 1999
record_format eprints
spelling my.utm.eprints-19582010-06-01T02:59:54Z http://eprints.utm.my/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/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.
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
title 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_short 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
topic TK Electrical engineering. Electronics Nuclear engineering
url http://eprints.utm.my/1958/1/Al-Jumaily1999_FuzzyLogicBasedBehaviorsBlendingForIntelligent.pdf
http://eprints.utm.my/1958/
url_provider http://eprints.utm.my/