Jae Yong Seo

Korea University of Technology and Education

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Total Citations

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About

Jae Yong Seo is a researcher whose work lies at the intersection of robotics, intelligent control, and fuzzy logic systems. His most cited contribution, "Intelligent path planning of two cooperating robots based on fuzzy logic" (2002, 4 citations), addresses a fundamental challenge in collaborative robotics: enabling two robots to work together safely and efficiently while handling unknown payloads. Seo’s key insight was to use fuzzy logic to manage the dynamic uncertainties inherent in cooperative manipulation, allowing the robots to adapt their paths in real time without requiring precise pre-programmed models of the payload’s properties. This approach was pioneering at a time when most path planning assumed static or well-characterized loads. While his citation count is modest, the work’s value lies in its conceptual foundation for adaptive, human-like decision-making in multi-robot systems—a topic that has since become central to modern manufacturing, warehouse automation, and assistive robotics. Seo’s research demonstrates how fuzzy logic can bridge the gap between theoretical control and practical, real-world uncertainty, making him a notable contributor to the early development of intelligent cooperative robotics.