Mingheng Fu

Papers

Total Citations

H-Index

About

Mingheng Fu’s research focuses on intelligent manufacturing and industrial robotics, with a particular emphasis on computer vision and workpiece localization. His work addresses critical challenges in automating grasping, sorting, and assembly tasks—key operations where precision directly impacts production efficiency. Fu’s major contributions lie in developing advanced image recognition algorithms for estimating the position and posture of randomly placed workpieces. His 2021 paper on an improved SSD-based workpiece location algorithm (10 citations) proposes a deep learning approach to enhance detection accuracy in cluttered industrial environments. A second influential study on rotated workpiece pose estimation (2 citations) further refines methods for handling orientation variability. While his citation counts are modest, Fu’s research is practically significant for bridging the gap between theoretical computer vision and real-world robotic applications. His work is particularly valuable for students and engineers seeking to implement robust, vision-guided automation in manufacturing settings.