Yung Hak Mo
Papers
1
Total Citations
5
H-Index
1
About
Yung Hak Mo has made foundational contributions to the field of construction robotics, with a particular focus on vision-guided assembly systems. His research centers on computer vision algorithms for automated steel frame construction, specifically addressing the challenge of bolt hole detection under variable lighting conditions. Mo's most cited work, "Cognition System of Bolt Hole Using Template Matching" (2011), introduces a template-matching approach that enables bolting robots to reliably locate bolt holes even in environments where lighting is either excessively bright or dark—a critical limitation in real-world construction sites. This work, with 5 citations, has informed subsequent developments in robotic assembly precision and adaptive vision systems. Mo's contributions are notable for bridging the gap between laboratory robotics and practical construction automation, tackling the real-world variability that often hinders robotic deployment. His research underscores the importance of robust perception in unstructured environments, and his findings continue to influence engineers developing autonomous systems for heavy construction tasks.
Research Focus
Key Achievements
Top Papers
- 1Cognition System of Bolt Hole Using Template Matching5 citations · 2011