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:
Online Access:http://umpir.ump.edu.my/id/eprint/7111/1/fkee-2014-hamzah-Intelligent_Control_of_Robot_Gripper.pdf
http://umpir.ump.edu.my/id/eprint/7111/
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spelling my.ump.umpir.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..
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
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/7111/1/fkee-2014-hamzah-Intelligent_Control_of_Robot_Gripper.pdf
http://umpir.ump.edu.my/id/eprint/7111/
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score 13.211869