Anggun Winursito
Papers
2
Total Citations
30
H-Index
2
About
Anggun Winursito is a control systems and robotics researcher whose work bridges intelligent perception and autonomous flight. Her most cited paper, "Face Tracking for Flying Robot Quadcopter based on Haar Cascade Classifier and PID Controller" (2021, 22 citations), demonstrates a practical integration of computer vision and classical control—using Haar cascade detection to enable a quadcopter to autonomously follow a human face. This work highlights her strength in applying real-time image processing to unmanned aerial vehicle (UAV) navigation. In parallel, her research on the "LQR state feedback controller with precompensator for magnetic levitation system" (2021, 8 citations) tackles the challenge of stabilizing a notoriously nonlinear and open-loop unstable system. By designing an optimal linear-quadratic regulator with a precompensator, she provides a robust solution for precision control in applications ranging from high-speed transportation to advanced robotics. Winursito’s contributions are notable for their clarity in translating complex control theory into implementable algorithms, making her work valuable for students and engineers seeking practical approaches to UAV tracking and magnetic levitation control.
Research Focus
Key Achievements
Top Papers
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