Yun Tien
Papers
1
Total Citations
3
H-Index
1
About
Yun Tien is a researcher specializing in advanced manufacturing automation, machine vision, and precision robotic systems. His most notable contribution is the development of a machine vision-based, servo-controlled delta robotic system for solenoid housing placement, detailed in his 2015 paper. This work integrates charge-coupled device (CCD) camera technology with delta robots to achieve automated, high-precision identification and placement of components, significantly improving efficiency and accuracy in industrial assembly processes. Although his highly focused research has garnered 3 citations, it demonstrates a practical, engineering-driven approach to solving real-world manufacturing challenges. Tien’s work is particularly relevant for students and researchers interested in the intersection of computer vision, robotics, and industrial automation, offering a clear example of how vision-guided systems can enhance production line performance. His contributions underscore the importance of integrating sensing and control in automated manufacturing environments.
Research Focus
Key Achievements
Top Papers
- 1Machine Vision-Based Automatic Placement System for Solenoid Housing3 citations · 2015