Meng, W, Liu, Q, Zhang, M et al. (2 more authors) (2017) Compliance adaptation of an intrinsically soft ankle rehabilitation robot driven by pneumatic muscles. In: 2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM 2017). AIM 2017, 03-07 Jul 2017, Munich, Germany. IEEE , pp. 82-87. ISBN 978-1-5090-5998-0
Abstract
Pneumatic muscles (PMs)-driven robots become more and more popular in medical and rehabilitation field as the actuators are intrinsically complaint and thus are safer for patients than traditional rigid robots. This paper proposes a new compliance adaptation method of a soft ankle rehabilitation robot that is driven by four pneumatic muscles enabling three rotational movement degrees of freedom (DoFs). The stiffness of a PM is dominated by the nominal pressure. It is possible to control the robot joint compliance independently of the robot movement in task space. The controller is designed in joint space to regulate the compliance property of the soft robot by tuning the stiffness of each active link. Experiments in actual environment were conducted to verify the control scheme and results show that the robot compliance can be adjusted when provided changing nominal pressures and the robot assistance output can be regulated, which provides a feasible solution to implement the patient-cooperative training strategy.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2017, 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. |
Keywords: | Pneumatic systems, Muscles, Force, Bars, End effectors, Actuators; Compliance adaptation, soft rehabilitation robot, pneumatic muscles, nominal pressure |
Dates: |
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Institution: | The University of Leeds |
Depositing User: | Symplectic Publications |
Date Deposited: | 25 Oct 2017 14:32 |
Last Modified: | 17 Jan 2018 17:17 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/AIM.2017.8013999 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:123047 |