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About

Hyunki Kwon is a leading researcher in autonomous navigation, specializing in trajectory planning for car-like mobile robots operating in narrow, cluttered, and parking environments. His work addresses the fundamental challenge of reconciling a vehicle’s nonholonomic constraints with complex environmental geometry. Kwon’s most significant contribution is the development of the Korea University Path Planner (KPP) and the innovative CDT-RRT* algorithm. The CDT-RRT*, a Dual-Tree RRT variant, generates safe and efficient trajectories by simultaneously considering kinodynamic constraints and environmental obstacles, enabling reliable navigation in tight spaces. His foundational papers on KPP, cited over 20 times collectively, established a benchmark for automatic parking control, providing quantitative and qualitative analyses that demonstrate its superiority over conventional planners. Kwon’s research has directly advanced the practical deployment of autonomous parking systems and mobile robots in human-centric environments. With a publication record spanning from 2011 to 2021, his work remains essential reading for engineers and researchers developing robust, constraint-aware motion planning algorithms for real-world robotic applications.