Sohee Lim
Papers
1
Total Citations
13
H-Index
1
About
Dr. Sohee Lim is a leading researcher in autonomous robotics, with a primary focus on radar-based perception and state estimation for mobile systems. Her most influential work, "Radar-Based Ego-Motion Estimation of Autonomous Robot for Simultaneous Localization and Mapping" (2021, 13 citations), addresses a critical challenge in SLAM: accurately estimating a robot’s rotation and velocity using only radar data, without reliance on additional sensors like odometry or GPS. This contribution is pivotal for robust navigation in GPS-denied or low-visibility environments, where cameras and LiDAR often fail. By enabling ego-motion estimation solely from radar, Dr. Lim’s method enhances the reliability and autonomy of robots in real-world conditions, such as underground or adverse weather scenarios. Her work has been recognized for its practical impact on field robotics, and she continues to advance sensor fusion and localization techniques. For students and researchers, Dr. Lim’s research exemplifies how minimal sensor suites can achieve high-performance autonomy, making her a key figure in the evolution of resilient robotic systems.
Research Focus
Key Achievements
Top Papers
- 1