Papers
19
Total Citations
320
H-Index
6
About
Van-Truong Nguyen is a Vietnamese robotics and control systems researcher whose work spans adaptive control theory, intelligent robotics, and computer vision. His most significant contribution lies in the development of advanced control frameworks for complex robotic systems, most notably his 2018 paper on adaptive fuzzy tracking control for flexible-joint robots with full-state constraints, which has garnered over 213 citations and established him as a notable voice in constrained nonlinear control design. By leveraging fuzzy systems to approximate unknown nonlinear dynamics and employing barrier Lyapunov functions, his work elegantly reduces computational burden while ensuring system safety. Beyond theoretical control, Nguyen has made meaningful strides in applied robotics, developing vision-based pick-and-place systems using eye-in-hand cameras, RGB-D datasets for 6D pose estimation, and 3D contour reconstruction using laser-vision mobile robots. His research on two-wheeled self-balancing robots, combining adaptive nonlinear PD controllers and genetic algorithm-optimized PID schemes, reflects a practical orientation toward real-world autonomous systems. More recently, he has explored deep learning-enhanced human tracking and low-frequency vibration isolation for precision engineering. Collectively, his portfolio demonstrates a researcher equally comfortable in rigorous mathematical control design and hands-on robotic implementation.
Research Focus
Key Achievements
Top Papers
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- 5Reconstruction of 3D contour with an active laser‐vision robotic system11 citations · 2011
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