Papers

3

Total Citations

28

H-Index

3

About

Nguyen Thanh Nha is a rising researcher in advanced robotics and intelligent control systems, whose work focuses on enhancing the stability, precision, and fault tolerance of complex robotic platforms. His primary research areas include nonlinear control theory, fuzzy logic systems, and sliding mode control, applied to both mobile and parallel manipulator robots. Nha’s 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 controller that integrates a fuzzy supervisor with LQR and PID components to maintain balance under dynamic uncertainties—a critical challenge for two-legged wheeled robots. He further extends his expertise to parallel manipulators, proposing a fault-tolerant synchronous sliding mode control (2024, 9 citations) that ensures robust performance despite actuator faults and uncertainties. His practical contributions include a synchronous PID controller for a 4-DOF parallel robot (2022), validated on a real test bench with AC servo motors. With a growing citation record and a focus on bridging theoretical control design with real-world implementation, Nha is establishing himself as a promising contributor to the fields of robotics and mechatronics.

Research Focus

Key Achievements

3
H-Index
3
Papers
28
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
A Fuzzy LQR PID Control for a Two-Legged Wheel Robot with Uncertainties and Variant Height
16 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Ho Chi Minh City University of Technology and Engineering

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago