Papers
1
Total Citations
3
H-Index
1
About
Hyunkyo Seo is a robotics researcher whose work centers on autonomous navigation, sensor fusion, and cost-efficient mapping for mobile robots. His major contribution lies in developing practical algorithms that enable low-cost 2-D LiDAR systems to detect and map challenging transparent surfaces, such as glass, which traditionally confound laser-based sensors. His most-cited paper, "PINMAP: A Cost-Efficient Algorithm for Glass Detection and Mapping Using Low-Cost 2-D LiDAR" (2025, 3 citations), introduces a novel approach that allows autonomous mobile robots (AMRs) to reliably perceive glass obstacles—a critical advancement for safe navigation in real-world environments like warehouses, hospitals, and offices. By addressing a long-standing limitation in LiDAR-based SLAM, Seo’s work enhances the robustness of low-cost robotic systems without requiring expensive hardware upgrades. His research bridges the gap between theoretical SLAM methods and practical deployment, making autonomous navigation more accessible and reliable. Seo’s contributions are particularly relevant as AMRs become increasingly integrated into everyday settings, and his cost-conscious design philosophy offers a template for future work in accessible robotics.
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Top Papers
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