Papers
8
Total Citations
47
H-Index
4
About
Tinh Nguyen is a robotics and control systems researcher whose work centers on intelligent control, adaptive algorithms, and fault-tolerant systems for mobile robots and robotic manipulators. His most significant contributions lie in developing neural network-based adaptive control strategies that enable robots to operate reliably in the presence of real-world challenges such as unknown wheel slips, model uncertainties, and external disturbances. His 2018 paper on adaptive tracking control for nonholonomic wheeled mobile robots, his most cited work with 13 citations, exemplifies this focus by introducing a three-layer neural network controller with online weight tuning to robustly handle complex dynamic conditions. Nguyen has also made notable contributions to sliding mode control, including antisingularity terminal sliding mode methods for robotic arms, and fault-tolerant control frameworks addressing actuator faults and dead zones. Beyond control theory, he has explored meta-heuristic optimization techniques, applying Differential Evolution algorithms to inverse kinematics problems in industrial robotics. His research consistently bridges theoretical rigor with practical robotic applications, making his work particularly valuable for engineers and researchers working to deploy autonomous robotic systems in uncertain, real-world environments.
Research Focus
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