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About

Jihoon Seong is a robotics researcher whose work focuses on the precise and reliable navigation of car-like mobile robots in complex environments. His primary contributions lie in the areas of trajectory planning, systematic error calibration, and localization. Seong is best known for developing the "Trajectory Planner CDT-RRT*," an advanced algorithm that extends the Dual-Tree RRT (DT-RRT) framework to enable safe and efficient navigation through narrow, cluttered spaces while respecting kinodynamic constraints. This work, which has garnered 15 citations, is particularly valuable for real-world applications where environmental geometry is challenging. His most cited paper (22 citations) introduces a method for accurately calibrating systematic errors in car-like robots using experimental orientation errors, significantly improving odometry reliability. Additionally, Seong has explored robust localization in indoor environments using indistinguishable artificial landmarks, addressing the limitations of natural landmark-based systems. Through these contributions, Seong has advanced the practical deployment of mobile robots, ensuring they can navigate with greater precision and autonomy in demanding settings.