3D Printed Prosthetic Robot Arm with Grasping Detection System for Children
Prosthetic robot arms have been an alternative replacement for upper limb-related disability, especially among children as it helps them perform regular activities such as holding tools, eating, and drinking. This research aims to develop a 3D prosthetic robot arm using SolidWorks and 3D printer, us...
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Indonesian Society for Knowledge and Human Development
2023
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my.ump.umpir.370052024-08-01T03:04:25Z http://umpir.ump.edu.my/id/eprint/37005/ 3D Printed Prosthetic Robot Arm with Grasping Detection System for Children Babu, Devin Abdul Nasir, Abd Ghafar Ravindran, . Farag, Mohannad Jabbar, Waheb A. TK Electrical engineering. Electronics Nuclear engineering Prosthetic robot arms have been an alternative replacement for upper limb-related disability, especially among children as it helps them perform regular activities such as holding tools, eating, and drinking. This research aims to develop a 3D prosthetic robot arm using SolidWorks and 3D printer, using a low-cost and straightforward mechanism for children. This paper proposes a close loop control system with position control for the prosthetic robot arm to achieve an appropriate grasping force focusing on solid-shaped objects using PID control. The PID controller controls the system's response to perform in the most efficient path. Force-sensitive resistors (FSR) are attached to all fingers to measure the grasping force acting on objects with different surfaces, dimensions, and weights. The controller results showed improvement in the overshoot percentage of 0.902%, as overshoot is essential in preventing the grasped object's deformations. The analysis of the experiment shows that the mean grasping force and static coefficient friction of each object are different regardless of the material the object is made of and the object's mass. For example, a cube-shaped object made of wood requires 0.5288 N of grasping force to grasp the object firmly compared to a plastic-made cube that only requires 0.3245 N to hold the cube. On the other hand, the static coefficient friction for the wood cube is 3.1708 and 0.4725 for the plastic cube. Further research can be done by designing the prosthetic robot arm with independent motorized and multi-degree movement of fingers. Indonesian Society for Knowledge and Human Development 2023 Article PeerReviewed pdf en cc_by_sa_4 http://umpir.ump.edu.my/id/eprint/37005/1/3D%20Printed%20Prosthetic%20Robot%20Arm%20with%20Grasping%20Detection%20System%20for%20Children.pdf Babu, Devin and Abdul Nasir, Abd Ghafar and Ravindran, . and Farag, Mohannad and Jabbar, Waheb A. (2023) 3D Printed Prosthetic Robot Arm with Grasping Detection System for Children. International Journal on Advanced Science, Engineering and Information Technology, 13 (1). pp. 226-234. ISSN 2088-5334. (Published) https://doi.org/10.18517/ijaseit.13.1.16547 10.18517/ijaseit.13.1.16547 |
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TK Electrical engineering. Electronics Nuclear engineering Babu, Devin Abdul Nasir, Abd Ghafar Ravindran, . Farag, Mohannad Jabbar, Waheb A. 3D Printed Prosthetic Robot Arm with Grasping Detection System for Children |
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Prosthetic robot arms have been an alternative replacement for upper limb-related disability, especially among children as it helps them perform regular activities such as holding tools, eating, and drinking. This research aims to develop a 3D prosthetic robot arm using SolidWorks and 3D printer, using a low-cost and straightforward mechanism for children. This paper proposes a close loop control system with position control for the prosthetic robot arm to achieve an appropriate grasping force focusing on solid-shaped objects using PID control. The PID controller controls the system's response to perform in the most efficient path. Force-sensitive resistors (FSR) are attached to all fingers to measure the grasping force acting on objects with different surfaces, dimensions, and weights. The controller results showed improvement in the overshoot percentage of 0.902%, as overshoot is essential in preventing the grasped object's deformations. The analysis of the experiment shows that the mean grasping force and static coefficient friction of each object are different regardless of the material the object is made of and the object's mass. For example, a cube-shaped object made of wood requires 0.5288 N of grasping force to grasp the object firmly compared to a plastic-made cube that only requires 0.3245 N to hold the cube. On the other hand, the static coefficient friction for the wood cube is 3.1708 and 0.4725 for the plastic cube. Further research can be done by designing the prosthetic robot arm with independent motorized and multi-degree movement of fingers. |
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Article |
author |
Babu, Devin Abdul Nasir, Abd Ghafar Ravindran, . Farag, Mohannad Jabbar, Waheb A. |
author_facet |
Babu, Devin Abdul Nasir, Abd Ghafar Ravindran, . Farag, Mohannad Jabbar, Waheb A. |
author_sort |
Babu, Devin |
title |
3D Printed Prosthetic Robot Arm with Grasping Detection System for Children |
title_short |
3D Printed Prosthetic Robot Arm with Grasping Detection System for Children |
title_full |
3D Printed Prosthetic Robot Arm with Grasping Detection System for Children |
title_fullStr |
3D Printed Prosthetic Robot Arm with Grasping Detection System for Children |
title_full_unstemmed |
3D Printed Prosthetic Robot Arm with Grasping Detection System for Children |
title_sort |
3d printed prosthetic robot arm with grasping detection system for children |
publisher |
Indonesian Society for Knowledge and Human Development |
publishDate |
2023 |
url |
http://umpir.ump.edu.my/id/eprint/37005/1/3D%20Printed%20Prosthetic%20Robot%20Arm%20with%20Grasping%20Detection%20System%20for%20Children.pdf http://umpir.ump.edu.my/id/eprint/37005/ https://doi.org/10.18517/ijaseit.13.1.16547 |
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1822924541165305856 |
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