Youngsun Kwon

Korea Institute of Science and Technology

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Total Citations

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About

Youngsun Kwon’s research focuses on advancing autonomous robotics, particularly in task and motion planning for object manipulation and the development of robotic systems for healthcare settings. Their major contribution includes a novel method for automated task planning using object arrangement optimization, which enables robots to intelligently organize cluttered scenes by constructing target layouts and executing precise manipulation sequences—a foundational step toward more adaptive service robots. This work has garnered 13 citations, reflecting its early influence in the field. More recently, Kwon led a usability study on heterogeneous robot-assisted services in isolation wards, addressing critical challenges in infectious disease management. Their system integrates multiple robot types to reduce infection risks and alleviate the heavy workload of medical personnel in quarantine environments, with the study receiving 4 citations and highlighting practical, high-impact applications. Kwon’s work bridges the gap between algorithmic planning and real-world deployment, demonstrating a commitment to both theoretical rigor and societal benefit. Their research is particularly relevant for students and researchers interested in human-robot interaction, healthcare robotics, and intelligent manipulation systems.