Wan‐Young Chung

Pusan National University, Pukyong National University

Papers

Total Citations

H-Index

About

Wan-Young Chung is a leading researcher in intelligent robotics and sensor systems, with a primary focus on tactile sensing, artificial intelligence, and control engineering for robotic manipulation. His major contributions lie in developing advanced sensing modules and deep learning-based control strategies that enhance the precision and autonomy of robotic grasping. Notably, his 2020 work on "Artificial Intelligence-Based Optimal Grasping Control" introduced a novel tactile sensing module that uses three air pressure sensors to detect contact force and location on robot fingers, enabling more adaptive and safe object handling—a paper that has garnered 20 citations for its practical impact. In 2022, he extended this line of research with a deep learning-based Smith predictor design for remote grasping control systems, addressing time-delay challenges in teleoperation. Chung’s work bridges the gap between sensor hardware innovation and intelligent control algorithms, making him a key figure in the advancement of dexterous robotic hands. His research is particularly influential for students and engineers working on human-robot interaction, industrial automation, and assistive robotics, where precise tactile feedback is critical.