Byeongjin Kim

Pohang University of Science and Technology, Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Byeongjin Kim is a researcher at the forefront of maritime robotics and intelligent control systems, with a focus on developing autonomous technologies for challenging environments. His work centers on two key areas: energy-harvesting robotic systems for the Internet of Maritime Things (IoMT) and neural network-based control algorithms for legged locomotion. In his 2015 paper on a robotic buoy system, Kim introduced a stand-alone data collector with integrated propulsion and energy-harvesting units, a foundational contribution to IoMT that enables persistent ocean monitoring without external power sources. This work has garnered 6 citations, reflecting its early impact on autonomous maritime platforms. More recently, his 2021 study proposed a novel neural network-based contact force control algorithm for walking robots, eliminating the need for exact dynamic models or force/torque sensors by learning from data. With 4 citations, this paper advances the efficiency and robustness of push-off walking strategies, offering a practical solution for disturbance rejection in real-world robotics. Kim’s research bridges the gap between marine autonomy and intelligent control, demonstrating a commitment to scalable, model-free approaches that enhance the reliability of robotic systems in unstructured settings.