Intelligent Control of Robot Gripper Considering Feature Conditions

This paper deals with the analysis of three fingered robot manipulator to pick up objects intelligently with the appropriate force in order to avoid it damaging the object. In this project, three fingered gripper is designed to grasp an object without slipping or damaging the object with Fuzzy Logic...

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Main Authors:	Hamzah, Ahmad, Rachel, Law Xian Hui, Mohd Razali, Daud
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/7111/ http://umpir.ump.edu.my/id/eprint/7111/1/fkee-2014-hamzah-Intelligent_Control_of_Robot_Gripper.pdf

id	ump-7111
recordtype	eprints
spelling	ump-71112018-02-05T03:57:34Z http://umpir.ump.edu.my/id/eprint/7111/ Intelligent Control of Robot Gripper Considering Feature Conditions Hamzah, Ahmad Rachel, Law Xian Hui Mohd Razali, Daud TK Electrical engineering. Electronics Nuclear engineering This paper deals with the analysis of three fingered robot manipulator to pick up objects intelligently with the appropriate force in order to avoid it damaging the object. In this project, three fingered gripper is designed to grasp an object without slipping or damaging the object with Fuzzy Logic approach. The fuzzy logic controller is used with many types of different membership types and number of fuzzy sets to evaluate the effect and performance of the grasping system. Based on the preliminary results, the triangular type of membership shows the simplest membership functions as the parameter are clear and easily understood and has faster computation time. However, the Gaussian membership shows better results when accuracy is considered. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7111/1/fkee-2014-hamzah-Intelligent_Control_of_Robot_Gripper.pdf Hamzah, Ahmad and Rachel, Law Xian Hui and Mohd Razali, Daud (2014) Intelligent Control of Robot Gripper Considering Feature Conditions. In: IEEE Symposium on Industrial Electronics & Applications (ISIEA2014), 28 September-1 October 2014 , Kota Kinabalu, Sabah. pp. 1-6..
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Hamzah, Ahmad Rachel, Law Xian Hui Mohd Razali, Daud Intelligent Control of Robot Gripper Considering Feature Conditions
description	This paper deals with the analysis of three fingered robot manipulator to pick up objects intelligently with the appropriate force in order to avoid it damaging the object. In this project, three fingered gripper is designed to grasp an object without slipping or damaging the object with Fuzzy Logic approach. The fuzzy logic controller is used with many types of different membership types and number of fuzzy sets to evaluate the effect and performance of the grasping system. Based on the preliminary results, the triangular type of membership shows the simplest membership functions as the parameter are clear and easily understood and has faster computation time. However, the Gaussian membership shows better results when accuracy is considered.
format	Conference or Workshop Item
author	Hamzah, Ahmad Rachel, Law Xian Hui Mohd Razali, Daud
author_facet	Hamzah, Ahmad Rachel, Law Xian Hui Mohd Razali, Daud
author_sort	Hamzah, Ahmad
title	Intelligent Control of Robot Gripper Considering Feature Conditions
title_short	Intelligent Control of Robot Gripper Considering Feature Conditions
title_full	Intelligent Control of Robot Gripper Considering Feature Conditions
title_fullStr	Intelligent Control of Robot Gripper Considering Feature Conditions
title_full_unstemmed	Intelligent Control of Robot Gripper Considering Feature Conditions
title_sort	intelligent control of robot gripper considering feature conditions
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/7111/ http://umpir.ump.edu.my/id/eprint/7111/1/fkee-2014-hamzah-Intelligent_Control_of_Robot_Gripper.pdf
first_indexed	2023-09-18T22:03:29Z
last_indexed	2023-09-18T22:03:29Z
_version_	1777414553364070400

Intelligent Control of Robot Gripper Considering Feature Conditions

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