Sung Kyung Hong
Papers
8
Total Citations
62
H-Index
4
About
Sung Kyung Hong is a leading researcher in autonomous robotics, specializing in low-cost sensor fusion, inertial navigation, and intelligent control systems. Her work has been instrumental in solving the fundamental challenge of precise self-localization for mobile robots operating without GPS, particularly in indoor environments. Hong’s most impactful contribution is the development of minimal-drift heading measurement techniques using MEMS gyroscopes—a critical innovation that enables reliable yaw angle estimation for indoor mobile robots by filtering short-term noise and compensating for drift through sensor fusion with odometry. Her 2008 paper on this topic has garnered 26 citations, establishing a foundation for subsequent advances in the field. Hong has also made significant strides in aerial robotics, pioneering an online-tuning PID controller using a multilayer fuzzy neural network for quadcopter attitude control (17 citations), and applying system identification methods to model quadrotor dynamics in hover. Her research extends to biomimetic robotics, where she has designed smart filters for robotic fish localization using MEMS accelerometers. Through these contributions, Hong has advanced the practical deployment of autonomous systems across ground, aerial, and underwater domains.
Research Focus
Key Achievements
Top Papers
- 1Minimal-Drift Heading Measurement using a MEMS Gyro for Indoor Mobile Robots26 citations · 2008
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- 7Simulation based design for position estimation of small robotic fish2 citations · 2013
- 8Development Of A Pc Controlled Autonomous Aerial Robot2 citations · 2020