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Reactive Navigation of Autonomous Guided Vehicle using Fuzzy Logic

In this paper. reactive navigation of an Autonomous Guided Vehicle (AGV) is described using the Fuzzy Logic technique. Typically AGV has the ability to operate and move purposely without human intervention and reactive navigation is one of the robot navigation methods used in dealing with the...

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Main Authors: Ismail, Idris, Nordin, M F
格式: Conference or Workshop Item
出版: 2002
主题:
TK Electrical engineering. Electronics Nuclear engineering
在线阅读:http://eprints.utp.edu.my/4054/1/stamp.jsp%3Ftp%3D%26arnumber%3D1033080%26tag%3D1
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1033080
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spelling my.utp.eprints.40542017-01-19T08:27:40Z Reactive Navigation of Autonomous Guided Vehicle using Fuzzy Logic Ismail, Idris Nordin, M F TK Electrical engineering. Electronics Nuclear engineering In this paper. reactive navigation of an Autonomous Guided Vehicle (AGV) is described using the Fuzzy Logic technique. Typically AGV has the ability to operate and move purposely without human intervention and reactive navigation is one of the robot navigation methods used in dealing with the uncertainties and ambiguity of the information of the path that the robot traverses. Fuzzy logic is chosen to control the AGV due to its strength in incorporating the knowledge of an experienced operator. Two fuzzy controllers will be designed for controlling the steering angle and speed of AGV. These will be based on the distance and angle of obstacles. The navigation simulation will be performed using MATLAB. 2002-07-16 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/4054/1/stamp.jsp%3Ftp%3D%26arnumber%3D1033080%26tag%3D1 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1033080 Ismail, Idris and Nordin, M F (2002) Reactive Navigation of Autonomous Guided Vehicle using Fuzzy Logic. In: 2nd IEEE Student Conference on Research and Development (SCOReD 2002), July 16-17, 2002, Shah Alam, Malaysia. http://eprints.utp.edu.my/4054/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Ismail, Idris
Nordin, M F
Reactive Navigation of Autonomous Guided Vehicle using Fuzzy Logic
description In this paper. reactive navigation of an Autonomous Guided Vehicle (AGV) is described using the Fuzzy Logic technique. Typically AGV has the ability to operate and move purposely without human intervention and reactive navigation is one of the robot navigation methods used in dealing with the uncertainties and ambiguity of the information of the path that the robot traverses. Fuzzy logic is chosen to control the AGV due to its strength in incorporating the knowledge of an experienced operator. Two fuzzy controllers will be designed for controlling the steering angle and speed of AGV. These will be based on the distance and angle of obstacles. The navigation simulation will be performed using MATLAB.
format Conference or Workshop Item
author Ismail, Idris
Nordin, M F
author_facet Ismail, Idris
Nordin, M F
author_sort Ismail, Idris
title Reactive Navigation of Autonomous Guided Vehicle using Fuzzy Logic
title_short Reactive Navigation of Autonomous Guided Vehicle using Fuzzy Logic
title_full Reactive Navigation of Autonomous Guided Vehicle using Fuzzy Logic
title_fullStr Reactive Navigation of Autonomous Guided Vehicle using Fuzzy Logic
title_full_unstemmed Reactive Navigation of Autonomous Guided Vehicle using Fuzzy Logic
title_sort reactive navigation of autonomous guided vehicle using fuzzy logic
publishDate 2002
url http://eprints.utp.edu.my/4054/1/stamp.jsp%3Ftp%3D%26arnumber%3D1033080%26tag%3D1
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1033080
http://eprints.utp.edu.my/4054/
_version_ 1738655317232713728
score 13.250246

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