Design and implementation of fuzzy based person following mobile robot

Tracking a person successfully and following robustly is a significant ability that requires to be overwhelmed by a service robot while it requires completing some human-related tasks. Such capability has desires, which cannot be met pleasingly using conventional numerical process. Most remarkably,...

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Main Authors:	Rashid, Muhammad Mahbubur, Shafie, Amir Akramin, Alamgir, Tarik Bin
Format:	Conference or Workshop Item
Language:	English
Published:	2011
Subjects:	T11.95 Industrial directories
Online Access:	http://irep.iium.edu.my/15085/ http://irep.iium.edu.my/15085/ http://irep.iium.edu.my/15085/1/Design_and_Implementation_of_Fuzzy_Based_Person_Following_Mobile_Robot.pdf_ICMME11.pdf

id	iium-15085
recordtype	eprints
spelling	iium-150852012-01-16T08:29:16Z http://irep.iium.edu.my/15085/ Design and implementation of fuzzy based person following mobile robot Rashid, Muhammad Mahbubur Shafie, Amir Akramin Alamgir, Tarik Bin T11.95 Industrial directories Tracking a person successfully and following robustly is a significant ability that requires to be overwhelmed by a service robot while it requires completing some human-related tasks. Such capability has desires, which cannot be met pleasingly using conventional numerical process. Most remarkably, the robot has to stay at a certain safe distance as of the person that is being tracked and simultaneously be in motion in a smooth way which does not seem to be frightening to the person. In this project report, consequently, a Fuzzy Inference System (FIS) is developed and used as a controller to provide decisions achieving smooth and safe person-following activities. The Fuzzy system is made to work in combination with a Optoelectronic (IR) sensor detection algorithm which acquire the position in using co-ordinate system and the velocity of the person is detected by using ultrasonic sensor and these are used to generate the Fuzzy Inference System distance and velocity information necessary for the control process. The simulation and result on this project established that even though the detection of IR is subject to minor noise and false negatives, the robot will achieve the smoothness and safety objectives while following its target. An example with a mobile robot tracking a person demonstrates the performance of our approach. 2011-12-10 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/15085/1/Design_and_Implementation_of_Fuzzy_Based_Person_Following_Mobile_Robot.pdf_ICMME11.pdf Rashid, Muhammad Mahbubur and Shafie, Amir Akramin and Alamgir, Tarik Bin (2011) Design and implementation of fuzzy based person following mobile robot. In: International Conference on Mechatronics and Materials Engineering (ICMME 2011), 10-12 December 2011, Qiqihar. (Unpublished) http://www.ieit-conf.org/icmme2011/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T11.95 Industrial directories
spellingShingle	T11.95 Industrial directories Rashid, Muhammad Mahbubur Shafie, Amir Akramin Alamgir, Tarik Bin Design and implementation of fuzzy based person following mobile robot
description	Tracking a person successfully and following robustly is a significant ability that requires to be overwhelmed by a service robot while it requires completing some human-related tasks. Such capability has desires, which cannot be met pleasingly using conventional numerical process. Most remarkably, the robot has to stay at a certain safe distance as of the person that is being tracked and simultaneously be in motion in a smooth way which does not seem to be frightening to the person. In this project report, consequently, a Fuzzy Inference System (FIS) is developed and used as a controller to provide decisions achieving smooth and safe person-following activities. The Fuzzy system is made to work in combination with a Optoelectronic (IR) sensor detection algorithm which acquire the position in using co-ordinate system and the velocity of the person is detected by using ultrasonic sensor and these are used to generate the Fuzzy Inference System distance and velocity information necessary for the control process. The simulation and result on this project established that even though the detection of IR is subject to minor noise and false negatives, the robot will achieve the smoothness and safety objectives while following its target. An example with a mobile robot tracking a person demonstrates the performance of our approach.
format	Conference or Workshop Item
author	Rashid, Muhammad Mahbubur Shafie, Amir Akramin Alamgir, Tarik Bin
author_facet	Rashid, Muhammad Mahbubur Shafie, Amir Akramin Alamgir, Tarik Bin
author_sort	Rashid, Muhammad Mahbubur
title	Design and implementation of fuzzy based person following mobile robot
title_short	Design and implementation of fuzzy based person following mobile robot
title_full	Design and implementation of fuzzy based person following mobile robot
title_fullStr	Design and implementation of fuzzy based person following mobile robot
title_full_unstemmed	Design and implementation of fuzzy based person following mobile robot
title_sort	design and implementation of fuzzy based person following mobile robot
publishDate	2011
url	http://irep.iium.edu.my/15085/ http://irep.iium.edu.my/15085/ http://irep.iium.edu.my/15085/1/Design_and_Implementation_of_Fuzzy_Based_Person_Following_Mobile_Robot.pdf_ICMME11.pdf
first_indexed	2023-09-18T20:24:07Z
last_indexed	2023-09-18T20:24:07Z
_version_	1777408302098939904

Design and implementation of fuzzy based person following mobile robot

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