A Methodology To Manage Point Cloud Data For Use In Robotic Applications

This paper proposed a methodology to generate point cloud data that is not encrypted without using expensive 3D scanners or software. The point cloud data generated can be color coded based on users' need and it can be easily visualized. A graphical user interface is created to automate the generation and customization process for users without knowing all the technical details. A pick and place application is used to demonstrate its effectiveness. The point cloud data is used to teach a SCARA robot all the critical paths instead of teaching it manually.