Congda Lu

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About

Congda Lu is a leading researcher in intelligent robotic machining, with a focus on precision grinding, polishing, and tool condition monitoring for complex industrial components. His work bridges advanced machine learning and traditional manufacturing, addressing critical challenges in automated material removal and surface quality control. Lu’s notable contributions include pioneering the use of neural ordinary differential equations (neural ODEs) combined with BP-GA optimization to predict tool wear in robotic polishing, a method that significantly enhances process reliability and consistency. He has also developed predictive models for material removal characteristics in robotic belt grinding of complex blades, enabling high-performance, digitalized processing for aerospace and energy applications. Though early in its citation impact, his research is gaining traction as foundational work in the digital transformation of grinding and polishing. Lu’s achievements demonstrate a clear trajectory toward intelligent, data-driven manufacturing, positioning him as a key innovator in the field of robotic machining and process optimization.