Xu, H, Zhang, M, Li, Y et al. (5 more authors) (2018) Development of a pneumatic robotic system for bilateral upper limb interactive training with variable resistance. In: AIMS 2018. 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 09-12 Jul 2018, Auckland, New Zealand. IEEE , pp. 968-973. ISBN 978-1-5386-1854-7
Abstract
This paper presents the development of a pneumatic robotic system for bilateral upper limb interactive training with variable resistance (resistance means force resistance here). This device can be adjusted to certain angle of inclination to enlarge its workspace. A motion module is designed to direct linear movement of two handles in parallel. The handle can be actively driven by human users with variable resistance that is realized through a pneumatic system. The pneumatic system mainly consists of pneumatic cylinders, throttle valves and electromagnetic valves, which allows for the resistance control of each motion module. Three work modes, including asynchronous, synchronous and independent movements, are implemented. A game was also developed to guide human users to do task-oriented bilateral training. Quantitative experiments were conducted in a lab environment to evaluate the variable resistance performance of the robotic system. Qualitative feedbacks were also obtained from each participant. Results show that the robotic system is able to deliver appropriate bilateral training with different levels of resistance. The majority of the participants gave a positive feedback in using this device.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IEEE. This is an author produced version of a paper published in 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). 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. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Funding Information: | Funder Grant number EPSRC GCRF_IS_2017 |
Depositing User: | Symplectic Publications |
Date Deposited: | 25 Oct 2018 09:20 |
Last Modified: | 13 Nov 2018 09:29 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/AIM.2018.8452438 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:137530 |