Heon-Cheol Lee

Papers

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About

Heon-Cheol Lee is a leading researcher in robotics, specializing in path planning and autonomous navigation for dynamic and structured environments. His most significant contribution is the "Grafting" technique, a path replanning method for Rapidly-Exploring Random Trees (RRT) that enables robots to efficiently adapt to dynamic obstacles. This work, published in 2012, has garnered 18 citations and is foundational for real-time robot navigation in unpredictable settings. Lee further advanced the field with his 2022 paper on "Directionally-Exploring Random Trees," which addresses inefficiencies in RRT sampling for corridor environments. By incorporating directional elements into the sampling process, his method reduces unnecessary sampling and generates more stable, centered paths, improving autonomous driving in narrow spaces. With a focus on practical, environment-aware algorithms, Lee's research enhances the safety and efficiency of robotic systems. His work is particularly impactful for students and researchers developing autonomous vehicles or mobile robots, offering robust solutions for real-world navigation challenges.