Autonomous and Self-correcting Laser Subtractive Patterning Using Reinforcement Learning

A novel subtractive laser patterning approach, actuated by reinforcement learning-controlled motorized XYZ stages, enables path-planning for quasi-arbitrary target patterns and an ability to supervise the machining process and perform self-correction following inadvertent pulse misfires.