Zhuoren Wan

Shanghai University of Engineering Science

Papers

Total Citations

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About

Zhuoren Wan is a researcher specializing in robotic vision measurement systems, with a particular focus on structured light techniques for industrial automation. His most-cited work investigates the robot line structured light vision measurement system, addressing two critical challenges: light strip center extraction and system calibration. This research enables fast, on-line measurement of complex objects by first establishing a comprehensive model of the robot vision measurement system and analyzing the key underlying technologies. Wan's contributions are significant for advancing precision metrology in manufacturing environments, where rapid and accurate 3D surface inspection is essential. His work has garnered attention in the field, with his top-cited paper accumulating 13 citations since 2021, reflecting its relevance to both academic researchers and industrial practitioners. By tackling the practical difficulties of light strip center extraction—a fundamental step in structured light vision—Wan has helped improve the reliability and efficiency of robotic measurement systems. His research bridges the gap between theoretical modeling and real-world application, making him a notable contributor to the development of intelligent vision-based inspection technologies.