Taek-Young Kim

Papers

Total Citations

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About

Taek-Young Kim is a robotics researcher whose work centers on autonomous navigation and perception systems, with a particular focus on lane marking detection for mobile robots operating in complex urban environments. His most-cited paper, "Lane Marking Detection of Mobile Robot with Single Laser Rangefinder" (2011, 5 citations), introduces a cost-effective approach to enabling robots to detect continuous road patterns—such as those found on pavement in downtown areas or tour tracks—using minimal sensor hardware. This contribution addresses a critical challenge in autonomous mobility: reliable environmental perception without expensive multi-sensor arrays. Kim’s research has implications for improving the safety and efficiency of autonomous robots in real-world settings, from delivery bots to exploratory rovers. While his citation count reflects a focused, early-career impact, his work on single-sensor lane detection offers a practical foundation for scalable robotic navigation. By simplifying sensor requirements, Kim’s approach helps democratize autonomous technology, making it more accessible for smaller-scale robotics applications. His contributions are particularly relevant for students and researchers exploring low-cost perception solutions in field robotics.