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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基于多机器人导航系统的多段磁软机器人血管介入研究。
近年来,磁性软机器人已成为一项有前途的技术,已应用于微创心血管手术。本文提出了一种新型多曲率弯曲多截面磁性软机器人(MS-MSR)的分析建模方法,该机器人由磁性驱动和超声引导相关联的协同多机器人导航系统(CMNS)操纵,目标为血管内介入。考虑移动磁致动机械手产生的外部非均匀磁场的影响,采用优化的Cosserat杆模型对MS-MSR的伸缩运动进行了运动学和动力学分析,以适应复杂的转向场景。同时,开发了一种体外移动超声导航机械手,用于跟踪磁性软机器人末端运动,实现闭环控制。我们还提出了一种基于二次规划的优化方案,使CMNS的多目标任务空间运动与零空间投影同步。它允许为多机器人协作制定具有运动优先级的综合控制器。实验结果表明,在超声引导的体外血管介入试验中,所设计的磁性软机器人在CMNS驱动下可成功地在多分叉血管内环境中进行导航,其形状建模误差为3.62±1.28°,尖端误差为1.08±0.45 mm。
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来源期刊
CiteScore
7.70
自引率
0.00%
发文量
0
审稿时长
21 weeks
期刊最新文献
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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