Minh Son Nguyen

Hanoi University of Science and Technology

Papers

Total Citations

H-Index

About

Minh Son Nguyen is a leading researcher in advanced robotics and intelligent control systems, with a primary focus on trajectory tracking and motion control for wheeled mobile robots. His most cited work introduces a groundbreaking fuzzy adaptive and dynamic surface control approach for four-mecanum-wheeled robots, specifically addressing the complex challenge of mass eccentricity—where the robot’s center of mass is displaced from its geometric center. This contribution is critical for improving precision and stability in automated guided vehicles and omnidirectional platforms used in manufacturing and logistics. Nguyen’s research has garnered over 1,000 citations across his publication record, reflecting its strong impact on both theoretical control engineering and practical robotics applications. His notable achievements include developing robust adaptive algorithms that enhance robot performance under dynamic loads and asymmetrical mass distribution, a problem often overlooked in standard control designs. By integrating fuzzy logic with dynamic surface control, Nguyen has provided a scalable solution that balances computational efficiency with real-time adaptability, making his work highly influential for students and engineers designing next-generation autonomous systems.