Jeonghoon Son
Papers
1
Total Citations
3
H-Index
1
About
Jeonghoon Son is a researcher whose work centers on advancing robotic vision and control systems, with a particular focus on enhancing precision and adaptability in industrial automation. His key contributions lie in developing robust vision-based control algorithms that enable robots to operate effectively under uncertain or dynamic conditions. In his most cited work, "Evaluation of two robot vision control algorithms developed based on N-R and EKF methods for the rigid-body placement" (2013), Son addresses critical challenges in applying vision systems to real-world manufacturing environments. By integrating Newton-Raphson and Extended Kalman Filter approaches, his algorithms allow robots to actively compensate for unknown relative positions between the camera and the robot, as well as variations in focal length. This work has garnered 3 citations, reflecting its foundational role in improving robotic placement accuracy. Son’s research is particularly valuable for industries requiring high-precision rigid-body assembly, where traditional vision systems often falter. His contributions underscore a commitment to bridging the gap between theoretical control methods and practical, resilient automation solutions—a vital step toward more intelligent and self-correcting robotic systems.
Research Focus
Key Achievements
Top Papers
- 1