基于RMF的蛇形机器人改进逼近方法

Yunhu Zhou, Yuanfei Zhang, F. Ni, Yongjun Sun, Hong Liu
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引用次数: 0

摘要

超冗余度机器人的控制通常采用逼近主干曲线的方法。因此,一种高效率、高精度的近似方法是关键问题。然后提出了一种基于旋转最小框架的平面骨架曲线近似方法。与传统的基于主干曲线曲率积分的近似方法相比,该方法具有更高的计算效率和更小的全局逼近误差。为了比较计算效率,从理论上分析了该方法与传统方法的运算次数。最后,通过数值计算实验验证了该方法具有较好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Improved Approximation Method of the Snake Robot Based on RMF
The hyper-redundant robot is usually controlled by approximating the backbone curve. So an approximation method with high efficiency and precision is a key problem. Then an approximation method based on the rotation minimizing frame (RMF) for the planar backbone curve is proposed. It has higher computation efficiency and a smaller global approximation error than the traditional approximation method based on the integration of the curvature of the backbone curve. For comparing the computation efficiency, the proposed method and the traditional method are compared by analyzing their operation numbers in the theory. At last, the numeric computation experiments validate that the proposed method has a better performance.
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