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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2014
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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.. |
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TK Electrical engineering. Electronics Nuclear engineering Hamzah, Ahmad Rachel, Law Xian Hui Mohd Razali, Daud Intelligent Control of Robot Gripper Considering Feature Conditions |
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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 |
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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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1643665543898595328 |
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13.211869 |