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A rapid performance evaluation approach for lower mobility hybrid robot based on gravity-center position

Chensheng Wang, Fang Su, Yanqin Zhao, Hongda Liu, Yonghao Guo, Wentie Niu

发表年份
2020
引用次数
2
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摘要

This article develops a rapid performance evaluation approach for lower mobility hybrid robot, which provides guidance for manipulator evaluation, design, and optimization. First, a general position vector model of gravity center for the lower mobility hybrid robot in the whole workspace is constructed based on a general inverse kinematic model. A performance evaluation index based on gravity-center position is then proposed, where the coordinates pointing to the supporting direction are selected as the evaluation index of the robot performance. Furthermore, the credibility of the evaluation approach is verified from a 5-DOF hybrid robot (TriMule) by comparing with the condition number and the first natural frequency. Analysis results demonstrate that the evaluation index can not only reflect the performance spatial distribution in the whole workspace but also is sensitive to the performance difference caused by mass distribution. The proposed performance evaluation approach provides a new index for the rapid design and optimization of the cantilever robot.

关键词

WorkspacePosition (finance)Center of gravityRobotComputer scienceSimulationKinematicsControl theory (sociology)Artificial intelligencePhysics

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