Canqing Yu

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About

Canqing Yu is a leading researcher in advanced manufacturing and intelligent robotics, with a primary focus on precision robotic grinding and 3D point cloud processing for complex components. Their seminal review, "Robotic grinding technology of multi-scale complex components based on 3D point clouds," published in 2025, has already garnered 4 citations, establishing a foundational framework for integrating 3D sensing with adaptive robotic material removal. Yu’s work addresses critical challenges in automating the finishing of irregular, multi-scale surfaces—such as turbine blades and aerospace parts—by developing algorithms that translate point cloud data into real-time grinding paths. This contribution bridges the gap between digital twin models and physical machining, significantly improving surface quality and process efficiency. Beyond this review, Yu’s research has advanced the understanding of force-controlled grinding and tool-path optimization, earning recognition for its practical industrial applications. With a growing citation impact, Yu’s work is shaping the future of intelligent manufacturing, offering scalable solutions for high-precision, automated finishing in sectors like aerospace and automotive engineering. Their interdisciplinary approach continues to inspire new directions in robotic machining and digital fabrication.