Yong Hun Kim
Papers
2
Total Citations
3
H-Index
1
About
Yong Hun Kim is a robotics researcher specializing in low-cost, robust navigation systems for mobile robots, with a particular focus on magnetic anomaly-based localization and dead reckoning fusion. His work addresses the critical challenge of achieving reliable indoor navigation without expensive sensors, leveraging Earth's natural magnetic field distortions as a positioning reference. Kim’s most cited paper, "Magnetic-map-matching Navigation For Odometry Using Low-cost Mobile Robot" (2020, 2 citations), introduces an odometry-free system that calculates navigation information using control signals and a robot’s dynamic model, minimizing hardware costs while compensating for uncertainties. Building on this foundation, his 2023 study, "Magnetic Anomaly-Matched Trajectory and Dead Reckoning Fusion Mobile Robot Navigation" (1 citation), proposes a stable navigation solution for environments with varying magnetic field distortions—a common failure point for conventional magnetic algorithms. By fusing magnetic anomaly-matched trajectories with inertial data, Kim enhances navigation accuracy and resilience across diverse indoor settings. His research is particularly valuable for students and engineers seeking cost-effective, sensor-fusion approaches to autonomous robot navigation, demonstrating how creative algorithmic design can overcome hardware limitations.
Research Focus
Key Achievements
Top Papers
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- 2