Papers

3

Total Citations

16

H-Index

3

About

Nha Thanh Nguyen is an emerging robotics and control systems researcher whose work centers on advanced motion control strategies for parallel robotic manipulators. Specializing in the design and practical implementation of intelligent control algorithms, Nguyen has made notable contributions to the field of multi-degree-of-freedom parallel robot control, addressing real-world challenges such as uncertain dynamics, friction, external disturbances, model errors, and variable payloads. Nguyen's most significant research focuses on developing synchronous control frameworks that combine classical control theory with modern estimation techniques. His pioneering work on Synchronous PD Control using Time Delay Estimation (SPD-TDE) and Synchronous Sliding Mode Control (SSMC) for 4-DOF parallel manipulators demonstrates a sophisticated approach to achieving precise trajectory tracking under practical operating conditions. Most recently, his 2025 work extended these methods to handle unknown dynamics and actuator faults simultaneously, reflecting a commitment to robust, real-world applicability. Collectively accumulating 16 citations across just a few years, Nguyen's research has quickly attracted attention within the robotics community. His work is particularly valuable for researchers and engineers seeking reliable control solutions for closed kinematic chain robotic systems operating in complex, unpredictable environments.

Research Focus

Key Achievements

3
H-Index
3
Papers
16
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Synchronous PD Control Using a Time Delay Estimator for a Four-Degree-of-Freedom Parallel Robot in Practice
8 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 7
🏛 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