Yuxiang Meng

Papers

Total Citations

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About

Dr. Yuxiang Meng is a researcher at the forefront of intelligent manufacturing and robotic automation, with a focused expertise in 3D scanning, point cloud processing, and robotic trajectory planning. His most cited work, "Research on Point Cloud Processing and Grinding Trajectory Planning of Steel Helmet Based on 3D Scanner" (2023, 5 citations), addresses a critical bottleneck in modern manufacturing: the limitations of traditional manual teaching and offline programming for complex grinding tasks. By leveraging 3D scanner data, Dr. Meng developed a method to rapidly and accurately acquire model geometry, enabling automated, adaptive trajectory generation for robotic grinding. This contribution directly enhances efficiency and precision in industrial applications, particularly for irregular workpieces like steel helmets. Though early in his career, his work signals a significant shift toward data-driven, sensor-integrated robotic systems. Dr. Meng’s research is essential reading for engineers and students exploring the intersection of computer vision, robotics, and advanced manufacturing, offering a practical pathway to more flexible and intelligent automation.