Min Goo Yoo
Papers
1
Total Citations
3
H-Index
1
About
Min Goo Yoo is a researcher in aerial robotics and control systems, with a primary focus on the practical modeling and system identification of unmanned aerial vehicles (UAVs), particularly quadrotors. His most cited work, "System Identification of the Quadrotor Flying Robot in Hover using Prediction Error Method" (2015, 3 citations), introduces a data-driven approach to obtaining linear time-invariant (LTI) models for quadrotors. Rather than relying on complex mathematical derivations, Yoo’s method uses input-output flight data and the prediction error method with a black-box model, offering a more accessible and efficient way to characterize quadrotor dynamics in hover. This contribution is valuable for researchers and engineers seeking to simplify control system design and simulation for UAVs. While his citation count is modest, Yoo’s work addresses a practical challenge in aerial robotics—bridging the gap between theoretical modeling and real-world flight data. His research supports advancements in autonomous flight, drone stability, and control system validation, making his methodology a useful reference for students and practitioners working on quadrotor development and testing.
Research Focus
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Top Papers
- 1