Wonsang Hwang
Seoul National University, Gumi University, Systems Research Institute
Papers
7
Total Citations
95
H-Index
5
About
Wonsang Hwang is a robotics researcher whose work sits at the intersection of sensor fusion, mobile robot localization, and vision-based tracking systems. His research has made meaningful contributions to solving one of robotics' most persistent challenges: enabling mobile robots to accurately perceive and navigate their environments in real time. Hwang's most influential work, "Sensor Data Fusion using Unscented Kalman Filter for Accurate Localization of Mobile Robots" (2010), has garnered 39 citations and demonstrates his expertise in combining data from multiple sensors — including accelerometers, gyroscopes, and encoders — through advanced filtering techniques to achieve robust, continuous robot localization. Building on this foundation, Hwang extended these methods to vision tracking systems, developing approaches that integrate Kalman filtering, fuzzy logic control, and bio-inspired mechanisms such as the vestibulo-ocular reflex to stabilize and direct cameras mounted on moving robots. His 2012 work on line-of-sight control introduced a novel feedforward-feedback architecture for continuous target tracking, adding another dimension to his contributions. Across a focused body of work published around 2009–2012, Hwang has established himself as a specialist in intelligent sensor integration, offering practical, high-performance solutions for autonomous robotic perception and tracking.
Research Focus
Key Achievements
Top Papers
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- 7Stable Vision System for Indoor Moving Robot Using Encoder Information4 citations · 2009