Sy-Tai Nguyen

Hanoi University of Science and Technology, National Institute of Nutrition

Papers

Total Citations

H-Index

About

Sy-Tai Nguyen is a robotics researcher whose work centers on intelligent motion control for mobile robots, with a particular emphasis on hedge-algebras-based controllers. His primary research areas include trajectory tracking, path following, and the application of hedge-algebras (HA) theory—a mathematical framework that quantifies linguistic values as real numbers between 0 and 1—to design controllers that outperform traditional fuzzy logic systems. Nguyen’s major contributions are demonstrated in his most-cited paper, "Trajectory tracking of mobile robots using hedge-algebras-based controllers" (2024, 14 citations), where he establishes a robust method for precise robot navigation. His earlier work, "Motion Control of a Mobile Robot Using the Hedge–Algebras-Based Controller" (2023, 11 citations), further validates the advantages of HAC over conventional fuzzy controllers by offering more efficient and accurate linguistic modeling. Most recently, his 2025 study on optimal hedge-algebras path following for the Robotkin platform showcases ongoing innovation in real-world applications. With a growing citation record, Nguyen’s research is shaping the future of autonomous mobile robotics, offering students and engineers a compelling alternative to traditional control paradigms.