Seongyong Hur
Papers
6
Total Citations
22
H-Index
3
About
Seongyong Hur is a robotics researcher whose work centers on the design, control, and localization of advanced mobile manipulators and robotic systems. His major contributions span three key areas: optimal mechanical design, autonomous navigation, and accessible robotics education. In his most cited work (7 citations), Hur developed a nonlinear optimization method for compound planetary reducers, enabling high gear ratios in compact volumes—critical for robotic joint actuation. He has also pioneered visual odometry techniques that estimate absolute robot position by matching camera images with pre-mapped environmental templates, achieving robust localization in known environments. Hur’s development of 3D-printed mecanum mobile manipulators (with 3 citations each) addresses the high cost of collaborative robots in universities, providing affordable platforms for task-space control research. His work on model predictive control for autonomous delivery robots tackles high-speed mobility challenges caused by inertial forces. With a total of over 20 citations across his papers, Hur’s research demonstrates practical impact in reducing robot costs, improving localization accuracy, and optimizing drivetrain efficiency—making him a notable contributor to accessible, high-performance robotics.
Research Focus
Key Achievements
Top Papers
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