Nguyen Tran Minh Nguyet
Papers
2
Total Citations
16
H-Index
1
About
Nguyen Tran Minh Nguyet is a rising researcher in the field of intelligent robotics and adaptive control systems. Her primary research interests lie at the intersection of neural network-based control, robotic manipulation, and nonlinear system stabilization. She has made significant contributions to the development of hybrid controllers that merge classical control theory with modern machine learning techniques. Her most cited work, "A neural flexible PID controller for task-space control of robotic manipulators" (2023, 15 citations), introduces an innovative adaptive robust Jacobian-based controller that enhances traditional PID frameworks with a neural control signal, enabling precise task-space position-tracking for robotic arms. This work bridges the gap between conventional control reliability and neural network adaptability. More recently, her 2025 survey on Linear Quadratic Regulator (LQR) control for unicycle robots provides valuable experimental insights into stabilizing inherently unstable single-wheel mobile platforms, offering practical guidance for researchers in mobile robotics. While early in her career, Nguyet's work demonstrates a clear trajectory toward advancing real-world robotic applications, particularly in environments requiring robust, adaptive, and computationally efficient control solutions.
Research Focus
Key Achievements
Top Papers
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- 2