Jamie Yeung
Papers
1
Total Citations
40
H-Index
1
About
Jamie Yeung is a researcher in manufacturing engineering and automation, with a focus on precision assembly and quality control. Their most cited work, "Automated assembly discrepancy feedback using 3D imaging and forward kinematics" (2015), has garnered 40 citations, establishing a foundation for integrating 3D imaging with robotic kinematics to detect and correct assembly errors in real time. This contribution advances the field of intelligent manufacturing by enabling automated feedback loops that reduce human intervention and improve production accuracy. Yeung’s research bridges computer vision, robotics, and process optimization, offering practical solutions for industries reliant on high-precision assembly, such as aerospace and electronics. Their work is notable for its emphasis on forward kinematic models to interpret imaging data, a novel approach that enhances system reliability. With a growing citation impact, Yeung continues to influence automated quality assurance, making their research essential for students and engineers exploring smart factory technologies and error-correction methodologies.
Research Focus
Key Achievements
Top Papers
- 1