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/ http://irep.iium.edu.my/7129/ http://irep.iium.edu.my/7129/ http://irep.iium.edu.my/7129/1/NZAzlan_ICIEA_2007.pdf

id	iium-7129
recordtype	eprints
spelling	iium-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 PeerReviewed 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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
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/ http://irep.iium.edu.my/7129/ http://irep.iium.edu.my/7129/ http://irep.iium.edu.my/7129/1/NZAzlan_ICIEA_2007.pdf
first_indexed	2023-09-18T20:16:25Z
last_indexed	2023-09-18T20:16:25Z
_version_	1777407817400975360

Fuzzy logic controlled miniature LEGO robot for undergraduate training system

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