Dae Young Kim

Samsung (South Korea), Changwon National University, Kwangwoon University

Papers

Total Citations

H-Index

About

Dae Young Kim is a robotics researcher whose work bridges industrial automation and assistive technology. His primary research areas include robotic welding systems, sensor-guided automation, and human-robot interaction. Kim’s most impactful contribution is the development of a camera vision system for automating sub-assembly lines in shipbuilding, a project that earned 12 citations and demonstrated how robots equipped with visual sensing can accurately detect welding panel positions—a critical step toward fully automated welding in heavy industry. He also advanced arc-welding robotics by optimizing the wrist design of hollow-type 6-axis articulated robots using genetic algorithms, improving welding wire feedability and cycle times for automotive manufacturing. Beyond industrial applications, Kim designed a user-steered guide robot for the blind, where he tackled the challenge of filtering unintentional user noise from joystick inputs to ensure smooth, reliable navigation. This work highlights his commitment to inclusive robotics. With a career spanning sensor integration, mechanical optimization, and assistive systems, Kim’s research continues to influence both factory automation and accessible robotic design.