Soft spinal gripper with enhanced electroadhesion function
Soft robotics, materials science, and stretchable electronics are three fields that have seen significant advances in recent years. The development of soft grippers is one area where these fields have converged, leading to rapid progress in the design and development of flexible robotic grippers. Th...
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2023
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sg-ntu-dr.10356-1670932023-06-03T16:45:27Z Soft spinal gripper with enhanced electroadhesion function Wang, Kai Lee Pooi See School of Materials Science and Engineering PSLee@ntu.edu.sg Engineering::Materials Soft robotics, materials science, and stretchable electronics are three fields that have seen significant advances in recent years. The development of soft grippers is one area where these fields have converged, leading to rapid progress in the design and development of flexible robotic grippers. This project focuses on the design and development of a soft spinal gripper using the principles of soft robotics. The gripper's nature, materials, and actuation method are all thoroughly discussed in this report, providing a deep insight into the design process. The tendon-driven actuation of the gripper is facilitated by an integrated circuit, which controls the motion of a stepper motor. The gripper mechanics were designed using 3D modelling, and the gripper finger was 3D printed using polymer resin. The bending test and pressure force test were conducted to analyse the structural and mechanical performance of the gripper. Additionally, an electroadhesion technique was used to extend the functionality of the gripper. Overall, this project demonstrates the potential of soft robotics for the development of flexible and versatile grippers that can be used in a range of applications. Bachelor of Engineering (Materials Engineering) 2023-05-29T02:40:32Z 2023-05-29T02:40:32Z 2023 Final Year Project (FYP) Wang, K. (2023). Soft spinal gripper with enhanced electroadhesion function. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167093 https://hdl.handle.net/10356/167093 en application/pdf Nanyang Technological University |
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Engineering::Materials Wang, Kai Soft spinal gripper with enhanced electroadhesion function |
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Soft robotics, materials science, and stretchable electronics are three fields that have seen significant advances in recent years. The development of soft grippers is one area where these fields have converged, leading to rapid progress in the design and development of flexible robotic grippers. This project focuses on the design and development of a soft spinal gripper using the principles of soft robotics. The gripper's nature, materials, and actuation method are all thoroughly discussed in this report, providing a deep insight into the design process. The tendon-driven actuation of the gripper is facilitated by an integrated circuit, which controls the motion of a stepper motor. The gripper mechanics were designed using 3D modelling, and the gripper finger was 3D printed using polymer resin. The bending test and pressure force test were conducted to analyse the structural and mechanical performance of the gripper. Additionally, an electroadhesion technique was used to extend the functionality of the gripper. Overall, this project demonstrates the potential of soft robotics for the development of flexible and versatile grippers that can be used in a range of applications. |
author2 |
Lee Pooi See |
author_facet |
Lee Pooi See Wang, Kai |
format |
Final Year Project |
author |
Wang, Kai |
author_sort |
Wang, Kai |
title |
Soft spinal gripper with enhanced electroadhesion function |
title_short |
Soft spinal gripper with enhanced electroadhesion function |
title_full |
Soft spinal gripper with enhanced electroadhesion function |
title_fullStr |
Soft spinal gripper with enhanced electroadhesion function |
title_full_unstemmed |
Soft spinal gripper with enhanced electroadhesion function |
title_sort |
soft spinal gripper with enhanced electroadhesion function |
publisher |
Nanyang Technological University |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/167093 |
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1772828473969082368 |