基于相对姿态的6-RSS并联机器人单目视觉运动学标定

Pengcheng Li, W. Xie, Xiaoming Zhang, Rui Zeng
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引用次数: 1

摘要

在并联机器人控制中,运动学参数标定是必不可少的准备步骤。提出了一种基于姿态变化的6-RSS并联机器人运动学参数标定算法。设计了一种基于相对姿态的标定算法,基于视觉检测到的姿态变化,搜索最优的运动学误差参数。该方法利用了位置和方向的变化,不需要检测传感器的精确位置信息。仿真结果验证了该算法在不同情况下的有效性。实验结果表明,标定后的运动学参数可以提高末端执行器的跟踪性能。
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Relative posture-based kinematic calibration of a 6-RSS parallel robot by using a monocular vision system
In the control of parallel robot, kinematic parameters calibration is an essential preparation step. In this paper, a posture variation based algorithm is proposed to calibrate the kinematic parameters of a 6-RSS parallel robot. A relative posture-based calibration algorithm is designed to search the optimal kinematic error parameters based on visually detected posture variation. This method uses both the position and orientation variations and does not need the accurate location information for the detection sensor. The simulation results validate the effectiveness of the algorithm under different circumstances. And the experimental results demonstrate that the calibrated kinematic parameters can be used to improve the end-effector tracking performance.
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