Van Tinh Nguyen
Papers
1
Total Citations
5
H-Index
1
About
Van Tinh Nguyen is a leading researcher in robotics and intelligent control systems, with a particular focus on the trajectory tracking and autonomous navigation of mobile robots. His most cited work introduces a groundbreaking control algorithm for nonholonomic mobile robots, combining computed torque control with an on-line learning neural network. This dual-loop architecture integrates kinematic control based on Lyapunov theory—which generates precise velocity commands for tangent and angular motion—with a dynamic neural compensator that adapts in real time to system uncertainties and disturbances. The result is a robust, adaptive framework that significantly enhances tracking accuracy and stability. Although the field is highly specialized, this 2013 paper has garnered 5 citations, reflecting its foundational role in advancing neural-adaptive control for constrained robotic systems. Nguyen’s contributions are particularly valuable for applications in autonomous ground vehicles, industrial automation, and service robotics, where reliable trajectory following is critical. His work exemplifies the synergy between classical control theory and modern machine learning, offering a practical pathway for developing more intelligent and responsive robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1