Babu, Devin and Abdul Nasir, Abd Ghafar and Syukran Hakim, Norazman and Mohd Amir Shahlan, Mohd-aspar (2024) Analysis of grasping mechanism for random regular object of improved prosthetic robotic arm. In: Progressive and Integrative Ideas and Applications of Engineering Systems Under the Framework of IOT and AI. Lecture Notes in Electrical Engineering, 1076 . Springer, Singapore, 16 -28. ISBN 978-981996302-7
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Abstract
This paper presents the analysis of grasping mechanism for random regular object of improved prosthetic robotic arm. The prosthetic robotic arm is intended to assist in increasing movement, managing everyday activities, and promoting independence for financially disadvantaged individuals. The device utilizes 3D printing technology to make it more affordable than current market options. The prosthetic arm is controlled by a compact microcontroller (ESP32) and a force sensor that detects muscle flex activity, allowing for precise object grasping. The ability to grasp objects is crucial for disabled children to improve their quality of life and maintain independence, which is why the development of a prosthetic robotic arm with grasping capabilities is essential. The results of testing show that the prosthetic arm can successfully grasp regular shape objects. The goal of this study is to analysis the grasping on random regular objects, create an affordable, user-friendly prosthetic robotic arm that can improve the quality of life for disabled children. In conclusion, the results of this study suggest that a prosthetic robotic arm can successfully be used by children with limb disabilities.
Item Type: | Book Chapter |
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Additional Information: | Indexed by Scopus |
Uncontrolled Keywords: | 3D design; 3D printing; Prosthetic robotic arm; Regular shape object grasping; Grasping force |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Faculty/Division: | Institute of Postgraduate Studies Faculty of Electrical and Electronic Engineering Technology |
Depositing User: | Mrs Norsaini Abdul Samat |
Date Deposited: | 18 Jul 2024 07:18 |
Last Modified: | 18 Jul 2024 07:18 |
URI: | http://umpir.ump.edu.my/id/eprint/37080 |
Download Statistic: | View Download Statistics |
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