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About

Kijung Kim is a robotics researcher whose work focuses on adaptive locomotion, assistive healthcare robotics, and human-robot interaction. His major contributions include the conceptualization and trajectory planning of a novel 2-DOF adaptive transformable wheel, designed to enable mobile robots to effectively overcome steps of varying sizes in indoor environments—a critical capability for autonomous navigation. This work, his most cited paper with 19 citations, addresses a fundamental challenge in mobile robotics. Kim has also made significant strides in healthcare robotics, developing a monitoring system using RGB-D sensors to detect going-out activities for elderly individuals with dementia, supporting home health care and alleviating caregiver burdens (10 citations). More recently, he led the development and usability study of a heterogeneous robot-assisted service system for isolation wards, aimed at reducing infection risk and workload for medical personnel during infectious disease outbreaks (4 citations). Through these innovations, Kim demonstrates a commitment to creating practical robotic solutions that enhance mobility, support aging populations, and improve safety in healthcare environments.