Minh Tam Nguyen

Ho Chi Minh City University of Technology and Engineering

Papers

Total Citations

H-Index

About

Minh Tam Nguyen is a robotics and control systems researcher whose work centers on advanced motion control algorithms for complex robotic platforms, particularly underactuated and parallel manipulator systems. His research consistently tackles the challenge of achieving precise, stable control in mechanically complex robots operating under real-world uncertainties such as friction, external disturbances, and modeling errors. Nguyen's most recognized contribution is his development of a hierarchical sliding mode algorithm for athlete robots — legged systems with elastic underactuated MIMO dynamics — employing Euler-Lagrange formulation to derive governing equations and introducing an innovative posture control framework, earning 6 citations. His later work on synchronous sliding mode control (SSMC) for 4-DOF parallel manipulators demonstrated the practical applicability of his theoretical methods in closed kinematic chain structures subject to uncertain dynamics, accumulating 4 citations. He has also explored optimization-driven control design, applying genetic algorithms to tune Linear Quadratic Regulators for Acrobot stabilization, showcasing his cross-disciplinary approach to robotic control. Across his portfolio, Nguyen bridges theoretical rigor and practical implementation, making meaningful contributions to underactuated robotics and multi-degree-of-freedom manipulator control — areas of growing relevance in industrial automation and biomechanical robotics research.