reinforcement learning
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RobOralScan Teaches a Robot to Perform Intraoral Scans—But 8 of 10 Simulated Successes Are Not Clinical Autonomy
Standfirst: A new reinforcement-learning system chooses scanner movements from a growing three-dimensional memory of the dental arch. RobOralScan reached 92.58% average coverage and completed 8 of 10 evaluation episodes, then transferred to a physical robot without additional training. The work is a robotics preprint, however—not a patient study or a market-ready dental device. Researchers have…