Research on Intelligent Digital Denture Polishing System Based on Improved RRT Path Optimization Algorithm

This study addresses challenges in traditional denture polishing processes, such as color matching, motion planning, and degree of freedom optimization. An intelligent digital denture polishing system is proposed, based on an improved Rapidly-exploring Random Tree (RRT) path optimization algorithm. The system integrates the HSI color model, color calibration using structured light, and the improved RRT path optimization algorithm. A bio-inspired digital polishing robotic arm with seven degrees of freedom is developed, and a color matching approach based on a tooth enamel color database is introduced. Through this system, precise tooth color matching, efficient and accurate robotic arm motion planning, and unprecedented progress and potential are achieved in the field of dental restoration.