Jae Kyung Son
Papers
1
Total Citations
2
H-Index
1
About
Jae Kyung Son is a robotics researcher whose work focuses on advancing vision-based control systems for industrial automation. His primary research areas include robot vision control algorithms, kinematic modeling, and camera calibration techniques for precise robotic manipulation. Son's most significant contribution is his development of a vision system model that enables control without requiring prior knowledge of the relative position between camera and robot—a critical advancement for real-world industrial applications. His approach addresses fundamental challenges in the field, including camera calibration during robot motion and the mapping of 3D physical coordinates to 2D camera space. Notably, Son proposed a six-parameter camera model that simplifies calibration, and he evaluated two distinct control algorithms—Newton-Raphson (N-R) and Extended Kalman Filter (EKF)—for the precise placement of slender bars. While his 2013 paper has garnered 2 citations, its practical focus on solving real-world industrial vision problems demonstrates Son's commitment to bridging the gap between theoretical robotics and factory-floor implementation. His work continues to inform researchers working on vision-guided robotic systems in manufacturing environments.
Research Focus
Key Achievements
Top Papers
- 1