Kyungmin Lee
Papers
1
Total Citations
10
H-Index
1
About
Kyungmin Lee is a robotics researcher whose work focuses on advancing autonomous navigation and localization in indoor environments. His most cited paper, "Mobile Robot Exploration in Indoor Environment Using Topological Structure with Invisible Barcode" (2006, 10 citations), introduces a novel approach to solving the persistent challenge of robot localization. Lee proposed using invisible two-dimensional barcodes embedded in flooring as artificial landmarks, offering a cost-effective and aesthetically unobtrusive alternative to natural landmark or sensor-based methods. This innovation ensures precise position tracking without compromising the visual environment, addressing key limitations in appearance and expense. While his citation count reflects a focused, early-career impact, Lee’s contribution lies in bridging practical deployment needs with robust topological mapping—a foundation for scalable indoor exploration systems. His work is particularly notable for its emphasis on real-world applicability, making it a valuable reference for researchers developing low-cost, reliable navigation solutions for service robots. Lee’s research continues to inspire efforts in integrating simple, passive markers into complex robotic systems.
Research Focus
Key Achievements
Top Papers
- 1