Dong‐Woo Lim
Papers
4
Total Citations
157
H-Index
3
About
Dong-Woo Lim is a researcher specializing in robot path planning, with a focus on developing efficient algorithms for autonomous navigation in complex environments. His major contributions center on enhancing the rapidly exploring random tree (RRT)-Connect algorithm, where he introduced a triangular inequality-based rewiring method that significantly reduces planning time while bringing paths closer to optimality—a breakthrough cited over 119 times in his most prominent 2021 paper. Lim also advanced path planning in cluttered settings by proposing the Expanded Douglas–Peucker (EDP) polygonal approximation algorithm, combined with Opposite Angle-Based Exact Cell Decomposition (OAECD), enabling mobile robots to navigate curvilinear obstacles with greater precision. His work, accumulating over 150 citations, demonstrates a clear impact on robotics and autonomous systems. By tackling fundamental challenges in computational efficiency and obstacle representation, Lim has provided practical solutions that improve real-world robot performance. His research is particularly valuable for students and engineers seeking to understand and implement state-of-the-art path planning techniques in dynamic environments.
Research Focus
Key Achievements
Top Papers
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