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A Trajectory Planning Algorithm of Spray Robot for Workpieces with Complex Geometric Features based on 3D Point Cloud

Minxiu Kong, Ang Li, Feng Gao

Year
2021
Citations
2

Abstract

Trajectory planning of spray robot for workpieces with complex geometric features is always a challenging problem. Combined with the actual process requirements of surface spraying and edge spraying, a new spraying path design method based on 3D point cloud is proposed in this paper. During surface spraying, the automatic segmentation algorithm of spraying area based on the determination of hole ratio and Euclidean clustering is studied. For the area with dense features, the point cloud slicing algorithm is used to generate the spray path. For the narrow area, the flexible midline extraction algorithm is proposed. We also discussed the edge extraction algorithm to generate the edge spray path. According to the simulation results of coating thickness, this method can not only ensure the uniformity of coating thickness, but also ensure high spraying efficiency with low paint waste.

Keywords

Point cloudEnhanced Data Rates for GSM EvolutionSlicingCluster analysisMotion planningTrajectoryComputer sciencePath (computing)Point (geometry)Segmentation

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