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用于手术的复合连续体机器人的耦合分析:另一种思路

Coupling Analysis of Compound Continuum Robots for Surgery: Another Line of Thought.

作者信息

Wei Hangxing, Zhang Gang, Wang Shengsong, Zhang Peng, Su Jing, Du Fuxin

机构信息

School of Mechanical Engineering, Shandong University, Jinan 250061, China.

Key Laboratory of High-Efficiency and Clean Mechanical Manufacture of MOE, Shandong University, Jinan 250061, China.

出版信息

Sensors (Basel). 2023 Jul 14;23(14):6407. doi: 10.3390/s23146407.

Abstract

The compound continuum robot employs both concentric tube components and cable-driven continuum components to achieve its complex motions. Nevertheless, the interaction between these components causes coupling, which inevitably leads to reduced accuracy. Consequently, researchers have been striving to mitigate and compensate for this coupling-induced error in order to enhance the overall performance of the robot. This paper leverages the coupling between the components of the compound continuum robot to accomplish specific surgical procedures. Specifically, the internal concentric tube component is utilized to induce motion in the cable-driven external component, which generates coupled motion under the constraints of the cable. This approach enables the realization of high-precision surgical operations. Specifically, a kinematic model for the proposed robot is established, and an inverse kinematic algorithm is developed. In this inverse kinematic algorithm, the solution of a highly nonlinear system of equations is simplified into the solution of a single nonlinear equation. To demonstrate the effectiveness of the proposed approach, simulations are conducted to evaluate the efficiency of the algorithm. The simulations conducted in this study indicate that the proposed inverse kinematic (IK) algorithm improves computational speed by a significant margin. Specifically, it achieves a speedup of 2.8 × 10 over the Levenberg-Marquardt (LM) method. In addition, experimental results demonstrate that the coupled-motion system achieves high levels of accuracy. Specifically, the repetitive positioning accuracy is measured to be 0.9 mm, and the tracking accuracy is 1.5 mm. This paper is significant for dealing with the coupling of the compound continuum robot.

摘要

复合连续体机器人采用同心管组件和缆索驱动的连续体组件来实现其复杂运动。然而,这些组件之间的相互作用会导致耦合,这不可避免地会导致精度降低。因此,研究人员一直在努力减轻和补偿这种由耦合引起的误差,以提高机器人的整体性能。本文利用复合连续体机器人组件之间的耦合来完成特定的外科手术。具体而言,内部同心管组件用于在缆索驱动的外部组件中诱导运动,该外部组件在缆索的约束下产生耦合运动。这种方法能够实现高精度的外科手术操作。具体来说,建立了所提出机器人的运动学模型,并开发了逆运动学算法。在这个逆运动学算法中,将一个高度非线性方程组的求解简化为一个单一非线性方程的求解。为了证明所提方法的有效性,进行了仿真以评估算法的效率。本研究中进行的仿真表明,所提出的逆运动学(IK)算法在计算速度上有显著提高。具体而言,与列文伯格-马夸尔特(LM)方法相比,它实现了2.8×10的加速。此外,实验结果表明,耦合运动系统达到了很高的精度。具体而言,重复定位精度测得为0.9毫米,跟踪精度为1.5毫米。本文对于处理复合连续体机器人的耦合问题具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/102a/10384598/db3aef20c444/sensors-23-06407-g001.jpg

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