Seungjoon Lee

Korea Institute of Industrial Technology

Papers

Total Citations

H-Index

About

Seungjoon Lee is a leading researcher in industrial robotics, with a primary focus on high-precision calibration and vision-guided automation. His most significant contribution is a groundbreaking hand-eye self-calibration method for industrial robots, detailed in his highly cited 2018 paper. This work addresses a critical challenge in manufacturing by using a known chessboard pattern to accurately compute the transformation between a robot's end-effector and its attached camera, eliminating the need for external measurement devices. The method achieves exceptional precision, enabling robots to perform complex tasks like assembly and inspection with greater accuracy and flexibility. With 13 citations, this paper has become a foundational reference for researchers and engineers seeking to improve robotic perception and autonomy. Lee’s work directly enhances the efficiency and reliability of automated systems, reducing downtime and setup costs in industrial settings. His research continues to push the boundaries of self-calibration, making robots more adaptable and intelligent in real-world production environments.