Hee Jin Sohn

Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Hee Jin Sohn is a leading researcher in mobile robotics, specializing in localization and simultaneous localization and mapping (SLAM) for indoor environments. His foundational work focuses on developing efficient, robust algorithms that enable mobile robots to navigate and map their surroundings using laser range finders. Sohn’s major contributions include the introduction of vector-based matching techniques, which significantly improve the accuracy and computational efficiency of robot pose estimation. His most cited paper, "An Efficient Localization Algorithm Based on Vector Matching for Mobile Robots Using Laser Range Finders" (2007, 27 citations), pioneered a novel approach that combines feature-based and point-based methods for reliable and stable localization. This work was further extended in "VecSLAM: An Efficient Vector-Based SLAM Algorithm for Indoor Environments" (2009, 22 citations), which advanced the field by integrating vector matching into full SLAM systems. Additionally, his earlier paper "A Robust Localization Algorithm for Mobile Robots with Laser Range Finders" (2006, 20 citations) introduced an efficient sequential segmentation algorithm that enhances matching reliability. With over 69 cumulative citations, Sohn’s research has provided critical building blocks for modern autonomous navigation systems, making him a respected figure in robotics.