Hyun-Suk Sim

Papers

Total Citations

H-Index

About

Hyun-Suk Sim’s research centers on robotics and control systems, with a particular focus on visual servoing and the precision control of robotic manipulators. His most cited work, “A study on visual feedback control of SCARA robot arm” (2015, 6 citations), makes a foundational contribution by demonstrating how increasing the number of visual features in the image Jacobian can significantly enhance the accuracy of visual feedback control for SCARA robots. Sim rigorously derives rank conditions linking the image Jacobian to control performance, proving that more features lead to improved precision—a key insight for industrial automation and assembly tasks. While his citation count is modest, this work is notable for its theoretical clarity and practical implications in robotic vision and control. Sim’s research is valuable for students and engineers seeking to understand the mathematical underpinnings of visual servoing, offering a clear framework for optimizing robot arm accuracy in real-world applications.