Jin-Seob Lee

Papers

Total Citations

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About

Dr. Jin-Seob Lee is a robotics researcher whose work centers on autonomous navigation and perception systems for mobile robots. His most-cited contribution, "Object detection of mobile robot using data-mining algorithm" (2007, 4 citations), introduces a novel approach that leverages data-mining techniques to enhance object detection for localization and map building. In this work, Dr. Lee proposes a method that integrates three distinct algorithms to segment environmental data, utilizing laser scanners to recognize objects and enable precise robot control. This foundational research addresses critical challenges in real-time spatial understanding, contributing to the broader fields of simultaneous localization and mapping (SLAM) and autonomous navigation. While his citation count reflects a focused, early-career impact, Dr. Lee’s work demonstrates a practical, algorithm-driven approach to robotics that bridges data mining with sensor-based perception. His contributions offer valuable insights for students and researchers developing intelligent mobile systems, particularly in the integration of computational methods for environmental modeling and object recognition.