San Hee Kang
Papers
1
Total Citations
19
H-Index
1
About
Dr. San Hee Kang is a robotics researcher specializing in low-cost navigation systems for indoor mobile robots, with a particular focus on magnetic anomaly-based localization. Their most-cited work, "Sequential batch fusion magnetic anomaly navigation for a low-cost indoor mobile robot" (2023, 19 citations), introduces a novel approach that leverages Earth’s magnetic field variations to achieve precise, drift-free positioning without expensive sensors. This contribution addresses a critical challenge in affordable robotics, enabling reliable navigation in GPS-denied environments. Dr. Kang’s research bridges sensor fusion, sequential estimation, and real-time control, offering scalable solutions for service robots and autonomous systems. With growing recognition in the field, their work has the potential to democratize indoor navigation technology, making it accessible for educational and commercial applications. Dr. Kang continues to advance cost-effective robotic autonomy, inspiring future innovations in mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1