Papers
11
Total Citations
130
H-Index
7
About
Jae-Yeong Lee is a leading researcher in mobile robotics, specializing in localization, navigation, and autonomous systems. His foundational work on the ubiquitous robotic space framework introduced a three-tier architecture—physical, semantic, and virtual spaces—to enable seamless robotic services, a concept that has garnered 25 citations and influenced service robot design. Lee’s major contributions include developing a coarse-to-fine pathfinding algorithm that optimizes grid-based search for mobile robots (24 citations) and pioneering a wireless localization sensor suite using infrared landmarks and image sensors, which achieved 20 citations for its novel approach to indoor robot positioning. His research on robust self-localization for ground vehicles, fusing artificial landmarks with GPS and odometry (10 citations), has advanced autonomous navigation in complex environments. Lee also created the uRON v1.5 navigation library, a device-independent, reconfigurable tool that has been adopted by laboratories and companies for portable robot navigation. More recently, he has explored pedestrian-view intersection classification and indoor/outdoor transition recognition, addressing safety in autonomous navigation. With over 100 total citations, Lee’s work bridges theoretical innovation and practical implementation, making him a key figure in ubiquitous robotics and autonomous vehicle research.
Research Focus
Key Achievements
Top Papers
- 1Design and Implementation of a Ubiquitous Robotic Space25 citations · 2009
- 2A coarse-to-fine approach for fast path finding for mobile robots24 citations · 2009
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- 6Robust self-localization of ground vehicles using artificial landmark10 citations · 2014
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- 8Indoor/Outdoor Transition Recognition Based on Door Detection4 citations · 2022
- 9For Safer Navigation: Pedestrian-View Intersection Classification4 citations · 2020
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