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Trajectory Correction and Locomotion Analysis of a Hexapod Walking Robot with Semi-Round Rigid Feet

机译:半圆刚足的六足步行机器人的轨迹校正和运动分析

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摘要

Aimed at solving the misplaced body trajectory problem caused by the rolling of semi-round rigid feet when a robot is walking, a legged kinematic trajectory correction methodology based on the Least Squares Support Vector Machine (LS-SVM) is proposed. The concept of ideal foothold is put forward for the three-dimensional kinematic model modification of a robot leg, and the deviation value between the ideal foothold and real foothold is analyzed. The forward/inverse kinematic solutions between the ideal foothold and joint angular vectors are formulated and the problem of direct/inverse kinematic nonlinear mapping is solved by using the LS-SVM. Compared with the previous approximation method, this correction methodology has better accuracy and faster calculation speed with regards to inverse kinematics solutions. Experiments on a leg platform and a hexapod walking robot are conducted with multi-sensors for the analysis of foot tip trajectory, base joint vibration, contact force impact, direction deviation, and power consumption, respectively. The comparative analysis shows that the trajectory correction methodology can effectively correct the joint trajectory, thus eliminating the contact force influence of semi-round rigid feet, significantly improving the locomotion of the walking robot and reducing the total power consumption of the system.
机译:为了解决机器人行走时半圆刚性脚滚动引起的身体轨迹错位问题,提出了一种基于最小二乘支持向量机的有腿运动轨迹校正方法。针对机器人腿的三维运动学模型修正,提出了理想立足点的概念,并分析了理想立足点与实际立足点之间的偏差值。提出了理想立足点与关节角度矢量之间的正向/反向运动学解,并通过LS-SVM解决了正向/反向运动学非线性映射问题。与以前的近似方法相比,该校正方法在逆运动学解决方案方面具有更好的精度和更快的计算速度。在腿部平台和六足步行机器人上进行了实验,使用多传感器分别分析了脚尖轨迹,基础关节振动,接触力影响,方向偏差和功耗。对比分析表明,该轨迹校正方法可以有效地校正关节轨迹,从而消除了半圆形刚性脚的接触力影响,显着提高了步行机器人的运动能力,降低了系统的总功耗。

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