Intelligent path guidance robot for visually impaired assistance

Visually impaired has limited movement using the classic white cane. Currently, there are many designs for devices that can assist the blind moves better in unfamiliar environment. Then, controllers were applied in the devices’ system so that it can improve the system’s efficiency and accuracy in de...

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Main Authors:	Razali, M. F., Toha, Siti Fauziah, Zainal Abidin, Zulkifli
Format:	Article
Language:	English
Published:	Elsevier Ltd. 2015
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/49876/ http://irep.iium.edu.my/49876/ http://irep.iium.edu.my/49876/ http://irep.iium.edu.my/49876/1/49876_-_Intelligent_path_guidance_robot_for_visually_impaired_assistance.pdf

id	iium-49876
recordtype	eprints
spelling	iium-498762017-11-15T09:08:33Z http://irep.iium.edu.my/49876/ Intelligent path guidance robot for visually impaired assistance Razali, M. F. Toha, Siti Fauziah Zainal Abidin, Zulkifli T Technology (General) Visually impaired has limited movement using the classic white cane. Currently, there are many designs for devices that can assist the blind moves better in unfamiliar environment. Then, controllers were applied in the devices’ system so that it can improve the system’s efficiency and accuracy in dealing with real-time situations. That’s when the intelligent system was introduced in the field to handle nonlinear process of the devices. The purpose of this study is to control steering angle system for an intelligent path guidance robot by using Fuzzy Logic Controller with MATLAB applications. The methods includes the designing of the fuzzy controller for the robot system using Fuzzy logic toolbox, SIMULINK implementation with the results, and the step responses of the system. The fuzzy controller was used to give output for the robot’s motor in terms of angle so it can be return back to its track. Two inputs for the system was introduced, error and change in error of the angle of the robot relative to the track given, while the output is the steering angle for the robot. Rule bases for the controller was developed based on the expert knowledge of the system which consist of 9 fuzzy rules. The step responses shows the overshoot, settling time, rise time and peak time after the implementation of the designed Fuzzy Logic Controller in the system. Elsevier Ltd. 2015 Article PeerReviewed application/pdf en http://irep.iium.edu.my/49876/1/49876_-_Intelligent_path_guidance_robot_for_visually_impaired_assistance.pdf Razali, M. F. and Toha, Siti Fauziah and Zainal Abidin, Zulkifli (2015) Intelligent path guidance robot for visually impaired assistance. Procedia Computer Science, 76. pp. 330-335. ISSN 1877-0509 http://www.sciencedirect.com/science/article/pii/S1877050915038041 10.1016/j.procs.2015.12.303
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Razali, M. F. Toha, Siti Fauziah Zainal Abidin, Zulkifli Intelligent path guidance robot for visually impaired assistance
description	Visually impaired has limited movement using the classic white cane. Currently, there are many designs for devices that can assist the blind moves better in unfamiliar environment. Then, controllers were applied in the devices’ system so that it can improve the system’s efficiency and accuracy in dealing with real-time situations. That’s when the intelligent system was introduced in the field to handle nonlinear process of the devices. The purpose of this study is to control steering angle system for an intelligent path guidance robot by using Fuzzy Logic Controller with MATLAB applications. The methods includes the designing of the fuzzy controller for the robot system using Fuzzy logic toolbox, SIMULINK implementation with the results, and the step responses of the system. The fuzzy controller was used to give output for the robot’s motor in terms of angle so it can be return back to its track. Two inputs for the system was introduced, error and change in error of the angle of the robot relative to the track given, while the output is the steering angle for the robot. Rule bases for the controller was developed based on the expert knowledge of the system which consist of 9 fuzzy rules. The step responses shows the overshoot, settling time, rise time and peak time after the implementation of the designed Fuzzy Logic Controller in the system.
format	Article
author	Razali, M. F. Toha, Siti Fauziah Zainal Abidin, Zulkifli
author_facet	Razali, M. F. Toha, Siti Fauziah Zainal Abidin, Zulkifli
author_sort	Razali, M. F.
title	Intelligent path guidance robot for visually impaired assistance
title_short	Intelligent path guidance robot for visually impaired assistance
title_full	Intelligent path guidance robot for visually impaired assistance
title_fullStr	Intelligent path guidance robot for visually impaired assistance
title_full_unstemmed	Intelligent path guidance robot for visually impaired assistance
title_sort	intelligent path guidance robot for visually impaired assistance
publisher	Elsevier Ltd.
publishDate	2015
url	http://irep.iium.edu.my/49876/ http://irep.iium.edu.my/49876/ http://irep.iium.edu.my/49876/ http://irep.iium.edu.my/49876/1/49876_-_Intelligent_path_guidance_robot_for_visually_impaired_assistance.pdf
first_indexed	2023-09-18T21:10:28Z
last_indexed	2023-09-18T21:10:28Z
_version_	1777411217990615040

Intelligent path guidance robot for visually impaired assistance

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