Jinkyung Ryeu

Papers

Total Citations

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About

Jinkyung Ryeu has made focused contributions to the field of mobile robotics, particularly in the area of path planning for non-holonomic vehicles. Her key research centers on developing efficient algorithms for car-like robots, which must navigate constrained environments while respecting turning radii and motion dynamics. Ryeu’s most cited work, “An Efficient Method to Find a Shortest Path for a Car-Like Robot” (2006, 7 citations), introduces a practical approach to computing optimal trajectories, addressing a fundamental challenge in autonomous navigation. She further advanced this domain with her study on “Mobile Robot Path Planning by Circular Scan Code and Circular Distance Transform Method” (2006, 2 citations), which leverages geometric scanning techniques to improve obstacle avoidance and route efficiency. Though her citation counts are modest, Ryeu’s research provides foundational insights for engineers designing real-time navigation systems in cluttered or tight spaces. Her work is particularly notable for its emphasis on computational efficiency, making it relevant for embedded and resource-constrained robotic platforms. For students and researchers exploring motion planning, Ryeu’s papers offer clear, algorithmic solutions that bridge theoretical geometry with practical implementation.