This invention helps create programs for laser machines to run test operations. It starts with a basic program that has flexible spots for the shape of the test piece and built-in rules for choosing those shapes. A user provides some details about the laser job, and the system then automatically uses these details and the rules to fill in the test shape and other settings, producing a complete program for the test run. The claims narrow this to automatically selecting the test contour shape and assigning processing parameters based on user input.
Why it matters: The patent's core concept of "decision functions" for automatically assigning parameters and contour shapes predates the widespread application of advanced machine learning. Today, AI-driven optimization and generative models could significantly enhance the intelligence and adaptability of these functions, moving beyond the rule-based systems likely envisioned in 2010.
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