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Autonomous and Self-correcting Laser Subtractive Patterning Using Reinforcement Learning

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Abstract

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.

© 2022 The Author(s)

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