Seokgi Kim
Papers
1
Total Citations
2
H-Index
1
About
Seokgi Kim is a researcher specializing in mobile robotics and sensor-based navigation systems. His work focuses on the practical design and optimization of robotic simulators, particularly those employing optical mice for motion tracking—a cost-effective alternative to traditional encoders. In his notable 2017 paper, "Practical designs of mobile robot traveling simulator using optical mice and their optimal parameter setting," Kim addresses the challenge of achieving accurate odometry in mobile robots by integrating off-the-shelf optical sensors. He systematically explores parameter tuning to minimize drift and enhance trajectory estimation, providing a reproducible framework for low-cost robotic platforms. Though his citation count is modest, his contributions are valuable for educational and prototyping contexts, where accessibility and simplicity are critical. Kim’s research bridges the gap between theoretical robotics and hands-on implementation, offering practical insights for students and engineers developing autonomous navigation systems. His work underscores the importance of sensor calibration and algorithmic optimization in real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1