Yi-Cheng Chen

Papers

Total Citations

H-Index

About

Yi-Cheng Chen is a leading researcher at the intersection of computer vision and industrial automation, with a focus on advancing Industry 4.0 through intelligent human-machine interaction. His most cited work, "Apply computer vision in GUI automation for industrial applications" (2019, 13 citations), addresses a critical gap in modern manufacturing: while physical labor is increasingly automated, many knowledge workers remain tethered to repetitive desktop software tasks. Chen’s major contribution lies in developing vision-based systems that enable automated graphical user interface (GUI) operations, effectively extending robotic process automation to software-driven workflows. By leveraging computer vision to interpret and manipulate on-screen elements, his work paves the way for truly comprehensive automation—bridging the divide between physical and digital labor. This research has direct implications for smart factories, where reducing human intervention in routine desktop tasks can significantly boost efficiency and reduce errors. Though still emerging, Chen’s citation record reflects growing recognition of his practical, industry-oriented approach. His work stands out for its focus on real-world deployment, offering a tangible pathway toward fully autonomous industrial environments where both machines and software operate with minimal human oversight.