Abstract:When the robot grasps the U-shaped snap on the automatic production line, the pose detection and the positioning of the gripping point of the snap should be solved. To solve this problem, we propose the improved algorithm of YOLOv5, which can obtain the rotation angle and gripping point coordinates of the U-shaped snap. Firstly, the training sample angle information is obtained by roLabellmg. Secondly, in order to obtain the predicted angle, the algorithm adds a new angle prediction dimension and replaces the … Show more
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