The deburring processes of parts with complex geometries usually present many challenges\nto be automated. This paper outlines the machine vision techniques involved in the design and set\nup of an automated adaptive cognitive robotic system for laser deburring of metal casting complex\n3D high quality parts. To carry out deburring process operations of the parts autonomously, 3D\nmachine vision techniques have been used for different purposes, explained in this paper. These\nmachine vision algorithms used along with industrial robots and a high tech laser head, make a fully\nautomated deburring process possible. This setup could potentially be applied to medium sized\nparts of different light casting alloys (Mg, AlZn, etc.).
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