Generation of triangulated patches smoothed from original point cloud data with noise and its application to robotic machining
The authors presented a machining system based on an industrial robot for foamed polystyrene materials. The developed robotic CAM system provided a simple interface without using any robot languages between operators and the machining robot. In this paper, a robotic preprocessor is reviewed for the machining robot to convert STL data into cutter location source data called CLS data. The STL originally means Stereolithography which is a file format proposed by 3D Systems and recently is supported by many CAD/CAM softwares. It is also known as Standard Triangulated Language in Japan. The STL is widely spread to rapid prototyping using a 3D printer which is a typical additive manufacturing system. The STL deals with a triangular representation of a 3D surface geometry. Then, triangulated patches generated from smoothed point cloud data (PCD) is described. The process allows to reconstruct 3D digital data of a real object written with STL format from original PCD with noise for reverse engineering. The effectiveness and usefulness of the proposed system are demonstrated through actual machining experiments.
2016 IEEE International Conference on Mechatronics and Automation