补偿(心理学)
机器人
计算机科学
机器人运动学
工业机器人
计算机视觉
控制理论(社会学)
人工智能
移动机器人
控制(管理)
心理学
精神分析
作者
Zhenya He,Ruian Zhang,Xianmin Zhang,Zhong Chen,Guojian Huang,Antai Zhou
标识
DOI:10.1109/robio49542.2019.8961386
摘要
This paper presents an absolute positioning error modeling and compensation method considering measuring errors for a 6-DOF industrial robot. Firstly, the error modeling of an ABB IRB 120 robot based on the modified Denavit-Hartenberg (D-H) method was established, it took into account not only geometric errors but also measuring errors. And then the compensation method based on the joint angles was introduced. Secondly, the simulation experiments were adopted to verify the feasibility and effectiveness of the compensation method. Finally, the error compensation experiments were conducted, including the measurement, error identification, error compensation. The experimental results show that the accuracy can have a significant improvement of 73.94% after error compensation. Hence, the error modeling and compensation method presented in this study is sensible and effective, and could be used for the error compensation to improve absolute positioning accuracy of the industrial robots.
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