Nature grasping by a cable-driven under-actuated anthropomorphic robotic hand

Human hand is the best sample for humanoid robotic hand and a nature grasping is the final target that most robotic hands are pursuing. Many prior researches had been done in virtual and real for simulation the human grasping. Unfortunately, there is no perfect solution to duplicate the nature grasp...

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Main Authors: Tian, Li, Magnenat-Thalman, Nadia, Thalmann, Daniel, Zheng, Jianmin
Other Authors: TELKOMNIKA
Format: Conference or Workshop Item
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/138280
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1382802020-09-26T21:53:24Z Nature grasping by a cable-driven under-actuated anthropomorphic robotic hand Tian, Li Magnenat-Thalman, Nadia Thalmann, Daniel Zheng, Jianmin TELKOMNIKA Institute for Media Innovation (IMI) Engineering::Computer science and engineering 3D Modelling Cable-driven Human hand is the best sample for humanoid robotic hand and a nature grasping is the final target that most robotic hands are pursuing. Many prior researches had been done in virtual and real for simulation the human grasping. Unfortunately, there is no perfect solution to duplicate the nature grasping of human. The main difficulty comes from three points. 1. How to 3D modelling and fabricate the real hand. 2. How actuated the robotic hand as real hand. 3. How to grasp objects in different shapes like human hand. To deal with these three problems and further to provide a partial solution for duplicate human grasping, this paper introduces our method to solve these problems from robotic hand design, fabrication, actuation and grasping plan. Our modelling progress takes only around 12 minutes that include 10 minutes of 3D scanning of a real human hand and two minutes for changing the scanned model to an articulated model by running our algorithm. Our grasping plan is based on the sampled trajectory and easy to implement for grasping different objects. Followed these steps, a seven DOF robotic hand is created and tested in the experiments. Published version 2020-04-30T03:16:10Z 2020-04-30T03:16:10Z 2019 Conference Paper Tian, L., Magnenat-Thalman, N., Thalmann, D., & Zheng, J. (2019). Nature grasping by a cable-driven under-actuated anthropomorphic robotic hand. TELKOMNIKA, 17(1), 1-7. doi:10.12928/TELKOMNIKA.v17i1.11006 https://hdl.handle.net/10356/138280 10.12928/TELKOMNIKA.v17i1.11006 2-s2.0-85062263122 17 1 7 en © 2019 Universitas Ahmad Dahlan. This work is licensed under a Creative Commons Attribution-Share Alike 4.0 International License. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Computer science and engineering
3D Modelling
Cable-driven
spellingShingle Engineering::Computer science and engineering
3D Modelling
Cable-driven
Tian, Li
Magnenat-Thalman, Nadia
Thalmann, Daniel
Zheng, Jianmin
Nature grasping by a cable-driven under-actuated anthropomorphic robotic hand
description Human hand is the best sample for humanoid robotic hand and a nature grasping is the final target that most robotic hands are pursuing. Many prior researches had been done in virtual and real for simulation the human grasping. Unfortunately, there is no perfect solution to duplicate the nature grasping of human. The main difficulty comes from three points. 1. How to 3D modelling and fabricate the real hand. 2. How actuated the robotic hand as real hand. 3. How to grasp objects in different shapes like human hand. To deal with these three problems and further to provide a partial solution for duplicate human grasping, this paper introduces our method to solve these problems from robotic hand design, fabrication, actuation and grasping plan. Our modelling progress takes only around 12 minutes that include 10 minutes of 3D scanning of a real human hand and two minutes for changing the scanned model to an articulated model by running our algorithm. Our grasping plan is based on the sampled trajectory and easy to implement for grasping different objects. Followed these steps, a seven DOF robotic hand is created and tested in the experiments.
author2 TELKOMNIKA
author_facet TELKOMNIKA
Tian, Li
Magnenat-Thalman, Nadia
Thalmann, Daniel
Zheng, Jianmin
format Conference or Workshop Item
author Tian, Li
Magnenat-Thalman, Nadia
Thalmann, Daniel
Zheng, Jianmin
author_sort Tian, Li
title Nature grasping by a cable-driven under-actuated anthropomorphic robotic hand
title_short Nature grasping by a cable-driven under-actuated anthropomorphic robotic hand
title_full Nature grasping by a cable-driven under-actuated anthropomorphic robotic hand
title_fullStr Nature grasping by a cable-driven under-actuated anthropomorphic robotic hand
title_full_unstemmed Nature grasping by a cable-driven under-actuated anthropomorphic robotic hand
title_sort nature grasping by a cable-driven under-actuated anthropomorphic robotic hand
publishDate 2020
url https://hdl.handle.net/10356/138280
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