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多夹持器机器人血管内介入力反馈控制:设计、原型和实验。

Force feedback controls of multi-gripper robotic endovascular intervention: design, prototype, and experiments.

机构信息

Department of Instrument Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.

Department of Automation, Shanghai Jiao Tong University, Shanghai, 200240, China.

出版信息

Int J Comput Assist Radiol Surg. 2021 Jan;16(1):179-192. doi: 10.1007/s11548-020-02278-w. Epub 2020 Oct 22.

DOI:10.1007/s11548-020-02278-w
PMID:33089435
Abstract

PURPOSE

Robotic endovascular intervention system (REIS) has the advantages of telemanipulation without radiation damage, precise location, and isolation of hand quiver. However, current REIS lacks a force feedback, which leads to high clinical risks. For the high operational safety of remote operations, this research proposes a force feedback control method for a novel manipulator with multi-grippers and develops a prototype to verify its expected telepresence.

METHODS

A high-resolution force sensor is used to acquire and transmit the intervention resistance force to the control handle. When the handle is translated or rotated, a loading mechanism composed of a servomotor, a screw pair, a spring, and friction roller generates the resistance force transmitted to the doctor's hand through the handle. A force/displacement hybrid control and PID control algorithm are used for the smaller feedback force error and lower delay.

RESULTS

This manipulator and its control handle are tested in the simulated catheter and vascular cases. The experiments show that force feedback precision can reach 0.05 N and the delay is not more than 50 ms, and the bandwidth is 9 Hz@-3 dB.

CONCLUSION

The proposed force feedback method can recreate resistance force from the intervention devices. The control model is valid with higher precision and wide bands, which has laid foundations to the application of REIS in clinic.

摘要

目的

机器人血管内介入系统 (REIS) 具有远程操作无辐射损伤、定位精确和手部震颤隔离等优点。然而,目前的 REIS 缺乏力反馈,这导致了较高的临床风险。为了实现远程操作的高运行安全性,本研究提出了一种具有多夹具的新型操纵器的力反馈控制方法,并开发了一个原型来验证其预期的临场感。

方法

采用高分辨率力传感器采集并传输介入阻力至控制手柄。当手柄平移或旋转时,由伺服电机、丝杠副、弹簧和摩擦辊组成的加载机构产生阻力,并通过手柄传递给医生的手部。采用力/位移混合控制和 PID 控制算法,以减小反馈力误差和降低延迟。

结果

在模拟导管和血管病例中对该操纵器及其控制手柄进行了测试。实验表明,力反馈精度可达 0.05N,延迟不超过 50ms,带宽为 9Hz@-3dB。

结论

所提出的力反馈方法可以从介入设备中重建阻力。控制模型具有较高的精度和较宽的带宽,为 REIS 在临床中的应用奠定了基础。

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Int J Comput Assist Radiol Surg. 2021 Jan;16(1):179-192. doi: 10.1007/s11548-020-02278-w. Epub 2020 Oct 22.
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