Dae Young Lim

Korea Institute of Industrial Technology

Papers

Total Citations

H-Index

About

Dae Young Lim is a pioneering researcher at the intersection of robotics, computer vision, and advanced manufacturing, with a focused expertise in automating garment production. His most cited work, "A vision-guided adaptive and optimized robotic fabric gripping system for garment manufacturing automation" (2024, 14 citations), addresses one of the most persistent challenges in soft robotics: handling deformable, non-rigid materials like fabric. Lim’s major contribution lies in developing an integrated system that combines real-time visual perception with adaptive gripping algorithms, enabling robots to dynamically adjust their grasp on limp textiles—a critical step toward fully automated, flexible garment assembly lines. This innovation not only reduces reliance on manual labor but also enhances precision and efficiency in a traditionally labor-intensive industry. Though early in its citation trajectory, this work has already garnered attention for its practical implications in smart manufacturing and Industry 4.0. Lim’s research exemplifies how sensor-guided robotics can overcome the unpredictability of soft materials, paving the way for more resilient and intelligent automation systems. For students and researchers, his work offers a compelling case study in applying computer vision to real-world robotic manipulation challenges.