Papers
1
Total Citations
3
H-Index
1
About
Hyo Lee is a researcher whose work centers on the intersection of robotics, computer vision, and control systems, with a particular focus on real-time object tracking and human-robot interaction. His most cited paper, "Parameter Identification for Position-based Robot Hand Tracking" (2006, 3 citations), introduces a novel scheme for controlling a pan-tilt camera to keep a robot hand centered in the image frame. By transforming coordinate systems to calculate precise rotation angles, Lee’s method enables robust, position-based tracking that is critical for applications in automated manufacturing and assistive robotics. Though his citation count is modest, this work demonstrates his early contribution to solving practical challenges in visual servoing—a field that underpins modern robotic manipulation. Lee’s research is notable for its emphasis on parameter identification, which enhances system accuracy and reliability. His approach has implications for improving robot dexterity and real-time responsiveness, making his contributions valuable for students and engineers exploring vision-guided robotics and control theory.
Research Focus
Key Achievements
Top Papers
- 1Parameter Identification for Position-based Robot Hand Tracking3 citations · 2006