Jungjun Kim

Korea Institute of Robot and Convergence, Pohang University of Science and Technology

Papers

Total Citations

H-Index

About

Dr. Jungjun Kim is a pioneering roboticist whose research bridges the critical gap between industrial infrastructure inspection and intelligent robotic manipulation. His most impactful work centers on developing specialized robotic systems for large-diameter water pipes, where he introduced a novel in-pipe inspection robot equipped with Magnetic Flux Leakage (MFL) sensors. This system, designed for pipes ranging from 900 mm to 1200 mm in diameter, addresses a pressing need in municipal water infrastructure maintenance and has already garnered 25 citations since its 2024 publication. Beyond industrial applications, Dr. Kim has made significant contributions to tactile sensing and neural computation. His work on object shape recognition using spiking neural networks with unsupervised learning—cited 11 times—represents a novel approach to processing tactile information for robotic hands, moving beyond traditional supervised methods. Additionally, his exploratory study on restaurant service robots, which surveyed frontline employees to identify behavioral goals, demonstrates his commitment to human-centered robotics design. Through this diverse portfolio spanning infrastructure inspection, tactile intelligence, and service robotics, Dr. Kim is establishing himself as a versatile researcher advancing both the technical capabilities and practical deployment of robotic systems.