Hong-Seok Cheon
Papers
3
Total Citations
37
H-Index
3
About
Hong-Seok Cheon is a leading researcher in mobile robotics, specializing in real-time motion planning and obstacle avoidance for autonomous systems operating in complex, dynamic environments. His work addresses the critical challenge of enabling robots to navigate safely and efficiently when faced with unknown or moving obstacles. Cheon’s most impactful contribution is his 2018 paper on "Online Bidirectional Trajectory Planning for Mobile Robots in State-Time Space," which has garnered 27 citations. This work introduced a computationally efficient, incremental planning algorithm that allows robots to rapidly compute safe trajectories up to a finite horizon, a breakthrough for real-time applications in cluttered settings. He further advanced the field with his 2022 method for "Online Waypoint Path Refinement," which uses collision probability to intelligently adjust paths with minimal computational load, and his earlier "Circle List-Based Obstacle Avoidance" technique for omni-directional robots, which predicts collision positions and times. Collectively, Cheon’s research provides foundational tools for autonomous navigation, balancing speed, safety, and adaptability. His work is essential reading for students and engineers developing mobile robots for warehouses, autonomous vehicles, or service robotics, where split-second decisions in unpredictable spaces are paramount.
Research Focus
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Top Papers
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