Chengxing Wu

Huazhong University of Science and Technology

Papers

Total Citations

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About

Chengxing Wu is a rising researcher in the field of intelligent robotic manufacturing, with a primary focus on precision machining, tool path correction, and error compensation in robotic systems. His work addresses critical challenges in automated deburring and milling, where accuracy is paramount. Wu’s most notable contribution is the development of a contour error prediction method that leverages a multi-feature hybrid model for tool path correction in robotic milling systems—a 2024 paper that has already garnered 10 citations, signaling strong early impact. He further advanced the field with a tool path correction technique for robotic deburring using local non-rigid 3D registration, which has earned 5 citations. These innovations are vital for improving the precision and efficiency of industrial robots in complex manufacturing tasks, reducing waste and enhancing product quality. Wu’s research is particularly relevant for students and engineers working on the intersection of robotics, computer vision, and control systems, offering practical solutions for real-world automation challenges. His work continues to shape the next generation of adaptive robotic manufacturing.