Papers
8
Total Citations
55
H-Index
4
About
Nam Hoai Nguyen is a leading figure in advanced robotics control, specializing in the development of robust and intelligent systems for uncertain environments. His research focuses on iterative learning control, observer-based controllers, and model-free approaches to address the critical challenges of model uncertainty and unknown input disturbances in robotic systems. Nguyen’s most impactful work includes a highly cited 2021 paper on intelligent parameter determination in iterative learning control (19 citations) and a seminal 2020 study proposing compound disturbance observers for two-wheeled inverted robots (13 citations). He has made significant contributions to the control of manipulators and mobile robots, authoring a comprehensive 2017 review on advanced control methods for two-wheeled mobile robots that has become a key reference in the field. His recent 2023 work on adaptive control for manipulators (10 citations) further solidifies his reputation. Nguyen’s innovative model-free control strategies, which eliminate the need for precise mathematical models, represent a major advancement for real-world robotics. His work is essential reading for researchers and students tackling the complexities of modern robotic control.
Research Focus
Key Achievements
Top Papers
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- 4Advanced control methods for two-wheeled mobile robots5 citations · 2017
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- 7Control of TWIR using LQR Controller and Compound Disturbance Observer2 citations · 2021
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