Seokki Jeong
Papers
3
Total Citations
22
H-Index
2
About
Seokki Jeong is a robotics researcher specializing in underwater vehicle navigation and attitude estimation. His work focuses on developing robust localization methods for autonomous underwater robots operating in challenging environments where GPS is unavailable. Jeong’s most significant contribution is the “Sine Rotation Vector Method for Attitude Estimation of an Underwater Robot” (2016), which has garnered 18 citations. This innovative approach integrates an Attitude Heading Reference System (AHRS) with a Doppler Velocity Log (DVL) to improve attitude estimation accuracy, addressing a critical challenge in underwater robotics. His research also includes practical implementations for mobile robot navigation, such as developing reusable function libraries for indoor robot localization using dead reckoning and sensor models (2013), and a localization method combining AHRS, depth sensors, and DVL for underwater vehicles (2015). Jeong’s work bridges theoretical estimation methods with real-world applications, making his contributions valuable for advancing autonomous navigation in both terrestrial and underwater domains.
Research Focus
Key Achievements
Top Papers
- 1Sine Rotation Vector Method for Attitude Estimation of an Underwater Robot18 citations · 2016
- 2Development and Implementation of Functions for Mobile Robot Navigation2 citations · 2013
- 3Navigation of an underwater vehicle using AHRS and depth sensor2 citations · 2015