Chul Woo Park
Papers
1
Total Citations
2
H-Index
1
About
Chul Woo Park is a researcher focused on advancing precision manufacturing and robotics, with key contributions in mold fabrication and automation. His work addresses critical challenges in grinding and lapping processes—the final, quality-defining stages of mold manufacturing that traditionally rely on manual labor, creating bottlenecks. Park’s major contribution lies in optimizing Off-Line Programming (OLP) for robotic systems, specifically by analyzing automatic teaching position errors using laser tracker technology. This innovation aims to reduce human dependency and enhance accuracy in high-precision tasks. While his most-cited paper, "Analysis of Automatic Teaching Position Error to Optimize OLP for Grinding/Lapping Robot System Using Laser Tracker" (2014), has garnered 2 citations, its significance lies in targeting a persistent industrial problem: the transition from manual to automated mold finishing. Park’s research bridges robotics and metrology, offering a pathway to more efficient, error-minimized manufacturing. His work is particularly valuable for students and researchers in industrial robotics and precision engineering, highlighting the practical integration of measurement systems to improve automation reliability.
Research Focus
Key Achievements
Top Papers
- 1