Yunsik Son
Papers
1
Total Citations
32
H-Index
1
About
Yunsik Son is a prominent researcher in robotics and autonomous systems, with a core focus on path planning and computational geometry for mobile robots. His major contribution lies in developing novel algorithms that enable efficient navigation in complex environments, particularly those with curvilinear obstacles. Son introduced the Expanded Douglas–Peucker (EDP) polygonal approximation algorithm, which refines traditional simplification techniques to better represent curved obstacles, and paired it with the Opposite Angle-Based Exact Cell Decomposition (OAECD) method. This integrated approach, detailed in his highly cited 2019 paper (32 citations), significantly improves the accuracy and computational efficiency of path planning for mobile robots. His work bridges theoretical geometry with practical robotics, offering solutions that are both robust and scalable. Son’s research has been instrumental in advancing autonomous navigation, with his algorithms being adopted in various robotic applications. His contributions continue to influence the field, making him a key figure in the development of intelligent, obstacle-aware navigation systems.
Research Focus
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Top Papers
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