Thai Van Nguyen
Hanoi University of Science and Technology, Université Paris-Saclay
Papers
2
Total Citations
38
H-Index
2
About
Thai Van Nguyen is a leading researcher in the field of advanced robotics, with a primary focus on the control and coordination of dual-arm robotic systems. His work addresses the critical challenge of enabling robots to perform complex, human-like manipulation tasks with high precision and adaptability. Nguyen’s major contributions lie in the development of sophisticated control algorithms that combine adaptive neural networks with backstepping and sliding mode techniques. His most-cited paper, "Adaptive Neural Network-Based Backstepping Sliding Mode Control Approach for Dual-Arm Robots" (2019), has garnered 35 citations, establishing a foundational framework for robust control in the presence of system uncertainties and dynamic disturbances. This work, along with his subsequent research on dynamic surface control, demonstrates his ability to push the boundaries of robotic autonomy. Nguyen’s research is not only theoretically rigorous but also highly practical, offering solutions that enhance the safety and efficiency of collaborative robots in manufacturing and service applications. His achievements mark him as a rising authority in adaptive control for robotic systems.
Research Focus
Key Achievements
Top Papers
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