Byung-Chul So
Papers
2
Total Citations
36
H-Index
2
About
Byung-Chul So is a researcher whose work centers on mobile robot path planning, with a particular focus on algorithms that enable efficient navigation through complex, curvilinear environments. His major contributions lie in the development of novel geometric decomposition and approximation methods. So is best known for his 2019 paper on the "Expanded Douglas–Peucker Polygonal Approximation and Opposite Angle-Based Exact Cell Decomposition for Path Planning with Curvilinear Obstacles," which has garnered 32 citations. This work introduces the Expanded Douglas–Peucker (EDP) algorithm, a refinement of the classic Douglas-Peucker line simplification technique, and integrates it with the Opposite Angle-Based Exact Cell Decomposition (OAECD) method. Together, these innovations allow mobile robots to generate more accurate and computationally efficient paths around curved obstacles, addressing a key limitation of traditional grid-based or rectangular decomposition approaches. So’s earlier foundational paper from 2012, "Mobile Robot Path Planning with Opposite Angle-Based Exact Cell Decomposition," laid the groundwork for this approach, earning 4 citations. His research is particularly valuable for applications in autonomous navigation, robotics, and computational geometry, offering practical solutions for real-world obstacle avoidance.
Research Focus
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Top Papers
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