Zhaoying Cheng

Papers

Total Citations

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About

Dr. Zhaoying Cheng is a leading researcher in robotic spray painting and computational geometry, with a focus on optimizing automated manufacturing processes for free-form surfaces. Their most-cited work introduces a novel point cloud modeling and slicing algorithm for trajectory planning in spray painting robots, addressing critical challenges in coating uniformity and spraying efficiency. By integrating edge preservation techniques into point cloud processing, Dr. Cheng’s algorithm enables precise path generation for complex, irregular surfaces—a breakthrough that has garnered 21 citations since 2021. This contribution is pivotal for industries requiring high-precision coatings, such as automotive and aerospace manufacturing, where consistent thickness and material savings are paramount. Beyond this flagship paper, Dr. Cheng’s research bridges robotics, computer-aided design, and surface engineering, advancing the state of the art in automated painting systems. Their work not only improves production quality but also reduces waste and cycle times, demonstrating a tangible impact on industrial efficiency. For students and researchers exploring robotic path planning or computational modeling, Dr. Cheng’s studies offer a compelling blend of theoretical innovation and practical application, underscoring their role as a key figure in modern manufacturing technology.