Young-il Lee

Papers

Total Citations

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About

Young-il Lee is a researcher whose work centers on the intersection of fuzzy logic systems and autonomous robotic navigation. His primary research area involves developing intelligent control algorithms for unmanned robots, with a particular focus on speed estimation and path planning in uncertain environments. His most-cited paper, "Fuzzy-based speed estimation for navigation of unmanned robots" (2010), has garnered 3 citations, establishing a foundational approach for integrating fuzzy inference systems into real-time robotic decision-making. This contribution addresses a critical challenge in robotics: enabling autonomous vehicles to adapt their speed dynamically based on sensor data and environmental conditions, without requiring precise mathematical models. While his citation count reflects a niche but specialized impact, Lee's work is notable for its practical emphasis on low-cost, computationally efficient solutions—a valuable direction for field robotics and educational platforms. His research bridges theoretical fuzzy logic with applied engineering, offering students and practitioners a clear methodology for enhancing robot autonomy in unstructured settings.