Meng-Hua Yen
Papers
2
Total Citations
5
H-Index
2
About
Meng-Hua Yen is a researcher advancing the frontiers of intelligent automation and industrial robotics, with a focus on integrating artificial intelligence into manufacturing systems. Their work centers on enhancing safety and efficiency in factory environments through the fusion of automation equipment with smart technologies. A key contribution is the development of an automatic feeding system featuring high-accuracy intelligent product defect detection, which leverages automated optical inspection (AOI) to overcome human limitations in speed and endurance, achieving real-time quality control. Yen has also pioneered the integration of speech recognition and image processing in industrial robots, addressing critical occupational safety hazards—such as the risk of injury during plastic injection molding operations—by enabling human-robot interaction that reduces direct human exposure to dangerous tasks. While their most-cited papers have garnered modest citation counts (3 and 2 citations respectively), these works represent foundational steps in creating safer, more responsive automated systems. Yen’s research is particularly notable for its practical application in high-risk industrial settings, demonstrating a commitment to merging cutting-edge AI with real-world manufacturing challenges to protect workers and boost productivity.
Research Focus
Key Achievements
Top Papers
- 1
- 2