Papers
1
Total Citations
16
H-Index
1
About
Nguyen Huu Loc is a rising researcher in the field of robotics and intelligent control systems, with a particular focus on the stabilization and motion control of complex, non-linear robotic platforms. His most cited work, "A Fuzzy LQR PID Control for a Two-Legged Wheel Robot with Uncertainties and Variant Height" (2023, 16 citations), introduces a novel hybrid control architecture that synergistically combines fuzzy logic supervision, Linear Quadratic Regulator (LQR) optimization, and traditional PID control. This approach addresses the critical challenge of maintaining dynamic stability in two-legged wheeled robots when faced with variable payloads and uncertain terrain. By integrating two distinct calibration mechanisms, Loc's method significantly enhances the robot's robustness against real-world disturbances. His work represents a meaningful step forward in bridging theoretical control theory with practical robotic applications, offering a computationally efficient solution for balancing systems. As an emerging scholar, Nguyen Huu Loc's contributions are laying important groundwork for the next generation of agile, adaptive, and self-balancing mobile robots.
Research Focus
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- 1