Yong Soo Kim

Samsung (South Korea), Daejeon University

Papers

Total Citations

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About

Yong Soo Kim is a pioneering researcher in human-robot interaction and assistive robotics, with a focus on developing intelligent systems that seamlessly integrate with human behavior. His key research areas include haptic feedback mechanisms, exoskeleton technology, and machine learning frameworks for human action prediction. Kim’s most influential work, “A Force Reflected Exoskeleton-Type Masterarm for Human–Robot Interaction” (2005, 62 citations), introduced a novel masterarm design using electric brakes and torque sensor beams to enable realistic force reflection in both haptic and teleoperated interactions—a foundational contribution to immersive robotic control. His later work, “A Nonsupervised Learning Framework of Human Behavior Patterns Based on Sequential Actions” (2009, 22 citations), advanced autonomous service systems by developing algorithms to discover and predict complex, ambiguous human action sequences, directly supporting assistive robots for the elderly and disabled. These contributions highlight Kim’s impact on creating more responsive, human-aware robotic systems, bridging mechanical design with cognitive computing to enhance human-robot collaboration in real-world applications.