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Research Article | Open Access

Multi-Section Magnetic Soft Robot with Multirobot Navigation System for Vasculature Intervention

Zhengyang LiQingsong Xu ( )
Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Macau, China
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Abstract

Magnetic soft robots have recently become a promising technology that has been applied to minimally invasive cardiovascular surgery. This paper presents the analytical modeling of a novel multi-section magnetic soft robot (MS-MSR) with multi-curvature bending, which is maneuvered by an associated collaborative multirobot navigation system (CMNS) with magnetic actuation and ultrasound guidance targeted for intravascular intervention. The kinematic and dynamic analysis of the MS-MSR’s telescopic motion is performed using the optimized Cosserat rod model by considering the effect of an external heterogeneous magnetic field, which is generated by a mobile magnetic actuation manipulator to adapt to complex steering scenarios. Meanwhile, an extracorporeal mobile ultrasound navigation manipulator is exploited to track the magnetic soft robot’s distal tip motion to realize a closed-loop control. We also conduct a quadratic programming-based optimization scheme to synchronize the multi-objective task-space motion of CMNS with null-space projection. It allows the formulation of a comprehensive controller with motion priority for multirobot collaboration. Experimental results demonstrate that the proposed magnetic soft robot can be successfully navigated within the multi-bifurcation intravascular environment with a shape modeling error 3.62 ± 1.28° and a tip error of 1.08 ± 0.45 mm under the actuation of a CMNS through in vitro ultrasound-guided vasculature interventional tests.

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Cyborg and Bionic Systems
Article number: 0188

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Cite this article:
Li Z, Xu Q. Multi-Section Magnetic Soft Robot with Multirobot Navigation System for Vasculature Intervention. Cyborg and Bionic Systems, 2024, 5: 0188. https://doi.org/10.34133/cbsystems.0188

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Received: 30 June 2024
Revised: 26 August 2024
Accepted: 08 October 2024
Published: 28 November 2024
© 2024 Zhengyang Li and Qingsong Xu. Exclusive licensee Beijing Institute of Technology Press. No claim to original U.S. Government Works.

Distributed under a Creative Commons Attribution License (CC BY 4.0).