Greenidge, N.J. orcid.org/0000-0003-0413-5503, Calmé, B. orcid.org/0000-0002-1460-9920, Moldovan, A.C. orcid.org/0009-0008-7226-0748 et al. (9 more authors) (2025) Harnessing the oloid shape in magnetically driven robots to enable high-resolution ultrasound imaging. Science Robotics, 10 (100). eadq4198. ISSN 2470-9476
Abstract
Magnetic fields enable remote manipulation of objects and are ideal for medical applications because they pass through human tissue harmlessly. This capability is promising for surgical robots, allowing navigation deeper into the human anatomy and accessing organs beyond the reach of current technologies. However, magnetic manipulation is typically limited to a maximum two–degrees-of-freedom orientation, restricting complex motions, especially those including rolling around the main axis of the magnetic robot. To address this challenge, we introduce a robot design inspired by embodied intelligence and the unique geometry of developable rollers, leveraging the oloid shape. The oloid, with its axial asymmetry and sinusoidal motion, facilitates rolling when precisely controlled by an external magnetic field. We present a versatile closed-loop control model to ensure precise magnetic manipulation of an oloid-shaped robot. This capability was validated in endoluminal applications through the integration of a 28-megahertz micro-ultrasound array to perform virtual biopsies, noninvasive real-time histological imaging. Extensive in vitro and in vivo tests using a porcine model showed the robot’s ability to execute sweeping motions, identify lesions, and generate detailed three-dimensional scans of gastrointestinal subsurface tissue. This research not only restores a critical movement capability to magnetic medical robots but also enables additional clinical applications deep within the human body.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Copyright © 2025 The Authors. This is an author produced version of an article published in Science Robotics, made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
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) |
Depositing User: | Symplectic Publications |
Date Deposited: | 02 Apr 2025 10:59 |
Last Modified: | 02 Apr 2025 11:00 |
Published Version: | https://doi.org/10.1126/scirobotics.adq4198 |
Status: | Published |
Publisher: | American Association for the Advancement of Science (AAAS) |
Identification Number: | 10.1126/scirobotics.adq4198 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:224932 |
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