Se‐Jin Lee
Papers
1
Total Citations
9
H-Index
1
About
Dr. Se-Jin Lee is a leading figure in mobile robotics, specializing in simultaneous localization and mapping (SLAM) and sensor-based perception. His research focuses on developing robust algorithms that enable robots to navigate and understand complex, cluttered environments, particularly using sonar sensors. Dr. Lee’s most-cited work, “Novel Sonar Salient Feature Structure for Extended Kalman Filter-Based Simultaneous Localization and Mapping of Mobile Robots” (2012, 9 citations), addresses a critical challenge in SLAM: extracting only the most reliable and informative features from noisy sonar data. By introducing a novel salient feature structure, he significantly improved the accuracy and stability of EKF-SLAM in real-world, ambiguous settings, such as home environments. This contribution has been influential in advancing practical, low-cost navigation systems for service and domestic robots. Dr. Lee’s work demonstrates a deep commitment to bridging theoretical SLAM methods with real-world applicability, making him a respected voice in the field of autonomous mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1