Zhuang Chen

Papers

Total Citations

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About

Zhuang Chen is a researcher specializing in intelligent manufacturing, robotics, and automated inspection systems for infrastructure. His work focuses on integrating 3D scanning technologies with robotic platforms to enhance precision and efficiency in industrial applications. Chen’s most notable contribution is his 2022 paper, "Automatic detection system with 3D scanning and robot technology for detecting surface dimension of the track slabs," which has garnered 24 citations. This study presents a novel system that combines laser scanning and robotic manipulation to automatically measure and assess the dimensional accuracy of track slabs—a critical component in railway and transportation infrastructure. By reducing manual inspection errors and improving throughput, Chen’s work directly addresses challenges in quality control for large-scale construction. His research demonstrates a practical fusion of computer vision, robotics, and data processing, offering scalable solutions for smart manufacturing and civil engineering. With growing interest in automation and digital twins, Chen’s contributions are increasingly relevant, positioning him as a promising voice in the field of intelligent inspection systems.