This invention describes a machine tool, like a CNC machine, that learns to improve its own operation. It has a system that evaluates how well it's performing and a machine learning component that adjusts the machine's movements. The machine learns by getting "rewards" for fast, accurate movements and "penalties" for deviations, and can even share its learning with other machines.
Why it matters: Filed before widespread industrial AI adoption, reinforcement learning and distributed AI for factory automation have matured significantly. This makes the system more feasible and powerful, especially for sharing learning between machines.
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