A Path Planning Algorithm of Spray Robot based on 3D Point Cloud

Abstract

The automatic path planning method of spray robot has always been a challenging problem, especially for the mixed-line production of various workpieces. This paper discusses the self-acquisition technology of spray path based on the point cloud model of furniture. The coordinate relationship between the coordinate system of the spraying system and the adaptive adjustment of the pose are discussed for the point cloud pose of the furniture. The furniture surface path planning based on point cloud slices and edge spraying based on edge extraction technology were studied to obtain the ordered path point sequence and posture of the spray gun. Through the robot spraying experiment on flat furniture and complex curved furniture, the reliability of the algorithm is verified from the aspects of algorithm efficiency and spraying effect.