About

Seokyong Kim is a robotics researcher whose work focuses on the critical challenge of accurate positioning and control for autonomous underwater vehicles (AUVs). His research addresses the fundamental difficulty of operating robots in unstructured, floating environments where precise state estimation is essential for data quality and mission success. Kim’s most significant contribution is the development of a multi-sensor fusion method for underwater robot pose estimation, which combines inertial sensors with optical imagery to achieve reliable localization in challenging subsea conditions. This work, published in 2014, has garnered 10 citations and provides a foundation for robust underwater navigation. He further advanced the field by proposing a simplified disturbance rejection control model, cited 7 times, which dramatically improves position-keeping accuracy for floating robots—a critical requirement for acquiring high-quality sensor data from gyroscopes and underwater optics. Earlier in his career, Kim also contributed to terrestrial robotics through an EKF-based localization system using chirp spread spectrum (CSS) technology, addressing the persistent problem of multi-path effects in indoor positioning. His research demonstrates a consistent focus on bridging the gap between theoretical control systems and practical, real-world robotic applications.

Research Focus

Key Achievements

3
H-Index
3
Papers
21
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Relative pose estimation of underwater robot by fusing inertial sensors and optical image
10 citations · 2014
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Korea Research Institute of Ships and Ocean Engineering, Korea Institute of Ocean Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago