Controlling the disorderly sorting of industrial robots can significantly improve sorting efficiency, reduce costs, and improve production efficiency. Therefore, this article proposes a method for disorderly sorting control of industrial robots based on binocular stereo vision. Firstly, the binocular stereo vision method is used to calibrate the sorting items of industrial robots. Secondly, the binocular parallax principle is used to obtain the depth information of the selected items and extract the pose of the sorting target object. Then, the rotation method is used to extract the minimum bounding rectangle, and the motion equation of the object to be sorted and the end of the robot is constructed. Finally, implement unordered sorting control based on machine vision. The results show that the calibration error of the proposed method is only 1.6%, and the control accuracy is as high as 96.2%, indicating that the proposed method can effectively improve the sorting effect.
Shudong He (Thu,) studied this question.