Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/138949
Title: Design of a highly biomimetic and fully-actuated robotic finger
Authors: Tian, Li
Thalmann, Nadia Magnenat
Zheng, Jianmin
Thalmann, Daniel
Keywords: Engineering::Computer science and engineering
Issue Date: 2019
Source: Tian, L., Thalmann, N. M., Zheng, J. & Thalmann, D., (2019). Design of a highly biomimetic and fully-actuated robotic finger. 2019 IEEE Symposium Series on Computational Intelligence, 2382-2387. doi:10.1109/SSCI44817.2019.9002870
Conference: 2019 IEEE Symposium Series on Computational Intelligence (SSCI)
Abstract: During design a mechanical structure such as a robotic finger, modeling parts and designing joints are two timeconsuming steps. This paper presents a method for design and fabrication of a humanoid robotic finger that intends to mimic the human finger in terms of tendon, bones, ligaments and the pulley systems which aims to generate a mechanism rapidly. The method is inspired by the anatomy and biomechanics of human hand, and focuses on bones, joints and actuation systems, with the aim of creating a customised finger that has the similar degrees of freedom and ranges of motion of a human finger. Specifically, we propose to create the personalised 3D models of finger's bones by adapting a template to the data acquired by scanning the real hand, which are then fabricated by 3D printing. Low cost and easy-to-get materials such as Nylon cables and silicon rubber are used to build the tendon sheaths and the joints. We design a 3 layer cascade cable driven system built upon eight driven cables and four servo motors for simulating all possible four Degree of Freedom (DOF) of the finger. As a result, we present a highly biomimetic and fully-actuated robotic finger, which can achieve more DOFs and larger ranges of motion compared to existing humanoid robotic hands. Particularly, the experiments validate that our robotic finger is capable of achieving all 11 standard finger gestures as a human fìnger.
URI: https://hdl.handle.net/10356/138949
ISBN: 9781728124858
DOI: 10.1109/SSCI44817.2019.9002870
Schools: School of Computer Science and Engineering 
Research Centres: Institute for Media Innovation (IMI) 
Rights: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/SSCI44817.2019.9002870.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:IMI Conference Papers

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