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

IF 10.5 Q1 ENGINEERING, BIOMEDICAL Cyborg and bionic systems (Washington, D.C.) Pub Date : 2024-11-28 eCollection Date: 2024-01-01 DOI:10.34133/cbsystems.0188
Zhengyang Li, Qingsong Xu
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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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7.70
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审稿时长
21 weeks
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Multi-Section Magnetic Soft Robot with Multirobot Navigation System for Vasculature Intervention. Advances in Biointegrated Wearable and Implantable Optoelectronic Devices for Cardiac Healthcare. Sensors and Devices Guided by Artificial Intelligence for Personalized Pain Medicine. Modeling Grid Cell Distortions with a Grid Cell Calibration Mechanism. Federated Abnormal Heart Sound Detection with Weak to No Labels.
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