Yu‐Pin Chen
Papers
1
Total Citations
2
H-Index
1
About
Yu-Pin Chen’s research centers on precision automation and semiconductor manufacturing, with a particular focus on real-time wafer positioning and robotic handling systems. His most notable contribution is a novel method for detecting wafer position during transfer processes, which uses line-shaped laser beams and a CCD camera to achieve real-time, non-contact positioning on a robot blade. This work, published in 2011, addresses a critical challenge in semiconductor fabrication: minimizing misalignment and damage during high-speed wafer transport. While the paper has garnered 2 citations, its conceptual innovation in optical sensing and automation control has influenced subsequent studies in precision manufacturing. Chen’s approach demonstrates a practical integration of optics and robotics, offering a cost-effective solution for improving yield in cleanroom environments. His research underscores the importance of real-time feedback in automated systems, a key area for advancing Industry 4.0 applications. For students and researchers in mechatronics or semiconductor engineering, Chen’s work provides a clear example of how targeted sensor design can solve industry-specific problems, bridging the gap between theoretical optics and hands-on manufacturing efficiency.
Research Focus
Key Achievements
Top Papers
- 1A novel method for real-time wafer positioning during transfer process2 citations · 2011