Pittiglio, G orcid.org/0000-0002-0714-5267, Orekhov, AL, da Veiga, T orcid.org/0000-0002-4286-4590 et al. (4 more authors) (2023) Closed Loop Static Control of Multi-Magnet Soft Continuum Robots. IEEE Robotics and Automation Letters, 8 (7). pp. 3980-3987. ISSN 2377-3766
Abstract
This letter discusses a novel static control approach applied to magnetic soft continuum robot (MSCR). Our aim is to demonstrate the control of a multi-magnet soft continuum robot (SCR) in 3D. The proposed controller, based on a simplified yet accurate model of the robot, has a high update rate and is capable of real-time shape control. For the actuation of the MSCR, we employ the dual external permanent magnet (dEPM) platform and we sense the shape via fiber Bragg grating (FBG). The employed actuation system and sensing technique makes the proposed approach directly applicable to the medical context. We demonstrate that the proposed controller, running at approximately 300 Hz, is capable of shape tracking with a mean error of 8.5% and maximum error of 35.2%. We experimentally show that the static controller is 25.9% more accurate than a standard PID controller in shape tracking and is able to reduce the maximum error by 59.2%.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 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: | Medical robots and systems , formal methods in robotics and automation , modeling , control , learning for soft robots , magnetic actuation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 26 May 2023 13:44 |
Last Modified: | 26 May 2023 13:52 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/lra.2023.3274431 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:199298 |