论文标题

使用一般字符串编码器路由的可变曲率连续机器人的形状传感的谎言组公式和灵敏度分析

Lie Group Formulation and Sensitivity Analysis for Shape Sensing of Variable Curvature Continuum Robots with General String Encoder Routing

论文作者

Orekhov, Andrew L., Ahronovich, Elan Z., Simaan, Nabil

论文摘要

本文考虑了致动肌腱和测量字符串的组合,以实现连续机器人的准确形状传感和直接的运动学。假设一般的字符串路由,则提出了这些机器人形状传感的有条理的谎言组公式。形状运动学使用通过模态函数参数化的ARC长度依赖性曲率分布表示,Lie组集成的Magnus扩展用于表达形状作为指数的产物。为模态系数求解了肌腱和弦长的运动限制,并得出了配置空间和身体雅各比式。定义并使用了形状重建问题的噪声扩增指数,用于优化弦/肌腱路由路径,平面仿真研究显示了准确形状重建所需的弦/腱数量最少。扭转僵硬的连续段用于实验评估,表明均值(最大)最终效果的绝对位置误差小于总长度的2%(5%)。最后,对扭转符号段的模拟研究证明了通用偏转和弦路由的方法。我们认为,本文的方法可以使设计过程,传感和控制连续性和软机器人受益。

This paper considers a combination of actuation tendons and measurement strings to achieve accurate shape sensing and direct kinematics of continuum robots. Assuming general string routing, a methodical Lie group formulation for the shape sensing of these robots is presented. The shape kinematics is expressed using arc-length-dependent curvature distributions parameterized by modal functions, and the Magnus expansion for Lie group integration is used to express the shape as a product of exponentials. The tendon and string length kinematic constraints are solved for the modal coefficients and the configuration space and body Jacobian are derived. The noise amplification index for the shape reconstruction problem is defined and used for optimizing the string/tendon routing paths, and a planar simulation study shows the minimal number of strings/tendons needed for accurate shape reconstruction. A torsionally stiff continuum segment is used for experimental evaluation, demonstrating mean (maximal) end-effector absolute position error of less than 2% (5%) of total length. Finally, a simulation study of a torsionally compliant segment demonstrates the approach for general deflections and string routings. We believe that the methods of this paper can benefit the design process, sensing and control of continuum and soft robots.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源