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Fuzzy logic controlled miniature LEGO robot for undergraduate training system

Fuzzy logic enables designers to control complex systems more effectively than traditional approaches as it provides a simple way to arrive at a definite conclusion upon ambiguous, imprecise or noisy information. In this paper, we describe the development of two miniature LEGO robots, which are the...

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Main Authors: Zainul Azlan, Norsinnira, Zainudin, F., Md. Yusof, Hazlina, Toha, Siti Fauziah, Yusoff, S. Z. S., Osman, N. H.
Format: Conference or Workshop Item
Language:English
Published: 2007
Subjects:
T173.2 Technological change
Online Access:http://irep.iium.edu.my/7129/1/NZAzlan_ICIEA_2007.pdf
http://irep.iium.edu.my/7129/
http://dx.doi.org/10.1109/ICIEA.2007.4318797
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spelling my.iium.irep.71292012-10-02T00:08:38Z http://irep.iium.edu.my/7129/ Fuzzy logic controlled miniature LEGO robot for undergraduate training system Zainul Azlan, Norsinnira Zainudin, F. Md. Yusof, Hazlina Toha, Siti Fauziah Yusoff, S. Z. S. Osman, N. H. T173.2 Technological change Fuzzy logic enables designers to control complex systems more effectively than traditional approaches as it provides a simple way to arrive at a definite conclusion upon ambiguous, imprecise or noisy information. In this paper, we describe the development of two miniature LEGO robots, which are the line following and the light searching mobile robots to provide a better understanding of fuzzy logic control theory and real life application for an undergraduate training system. This study is divided into two parts. In the first part, an object sorter robot is built to perform pick and place task to load different colour objects on a fuzzy logic controlled line following robot which then carries the preloaded objects to a goal by following a white line. In the second part, an intelligent fuzzy logic controlled light searching robot with the capability to navigate in a maze is developed. All of the robots are constructed by using the LEGO Mindstorms kit. Interactive C programming language is used to program fuzzy logic robots. Experimental results show that the robots has successfully track the predefined path and navigate towards light source under the influence of the fuzzy logic controller; and therefore can be used as a training system in undergraduate fuzzy logic class. 2007 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/7129/1/NZAzlan_ICIEA_2007.pdf Zainul Azlan, Norsinnira and Zainudin, F. and Md. Yusof, Hazlina and Toha, Siti Fauziah and Yusoff, S. Z. S. and Osman, N. H. (2007) Fuzzy logic controlled miniature LEGO robot for undergraduate training system. In: Second IEEE Conference on Industrial Electronics and Applications (ICIEA 2007), 23-25 May 2007, Harbin, China. http://dx.doi.org/10.1109/ICIEA.2007.4318797 doi:10.1109/ICIEA.2007.4318797
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic T173.2 Technological change
spellingShingle T173.2 Technological change
Zainul Azlan, Norsinnira
Zainudin, F.
Md. Yusof, Hazlina
Toha, Siti Fauziah
Yusoff, S. Z. S.
Osman, N. H.
Fuzzy logic controlled miniature LEGO robot for undergraduate training system
description Fuzzy logic enables designers to control complex systems more effectively than traditional approaches as it provides a simple way to arrive at a definite conclusion upon ambiguous, imprecise or noisy information. In this paper, we describe the development of two miniature LEGO robots, which are the line following and the light searching mobile robots to provide a better understanding of fuzzy logic control theory and real life application for an undergraduate training system. This study is divided into two parts. In the first part, an object sorter robot is built to perform pick and place task to load different colour objects on a fuzzy logic controlled line following robot which then carries the preloaded objects to a goal by following a white line. In the second part, an intelligent fuzzy logic controlled light searching robot with the capability to navigate in a maze is developed. All of the robots are constructed by using the LEGO Mindstorms kit. Interactive C programming language is used to program fuzzy logic robots. Experimental results show that the robots has successfully track the predefined path and navigate towards light source under the influence of the fuzzy logic controller; and therefore can be used as a training system in undergraduate fuzzy logic class.
format Conference or Workshop Item
author Zainul Azlan, Norsinnira
Zainudin, F.
Md. Yusof, Hazlina
Toha, Siti Fauziah
Yusoff, S. Z. S.
Osman, N. H.
author_facet Zainul Azlan, Norsinnira
Zainudin, F.
Md. Yusof, Hazlina
Toha, Siti Fauziah
Yusoff, S. Z. S.
Osman, N. H.
author_sort Zainul Azlan, Norsinnira
title Fuzzy logic controlled miniature LEGO robot for undergraduate training system
title_short Fuzzy logic controlled miniature LEGO robot for undergraduate training system
title_full Fuzzy logic controlled miniature LEGO robot for undergraduate training system
title_fullStr Fuzzy logic controlled miniature LEGO robot for undergraduate training system
title_full_unstemmed Fuzzy logic controlled miniature LEGO robot for undergraduate training system
title_sort fuzzy logic controlled miniature lego robot for undergraduate training system
publishDate 2007
url http://irep.iium.edu.my/7129/1/NZAzlan_ICIEA_2007.pdf
http://irep.iium.edu.my/7129/
http://dx.doi.org/10.1109/ICIEA.2007.4318797
_version_ 1643605880237719552
score 13.211869

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