Nhan Duc Nguyen
Papers
1
Total Citations
20
H-Index
1
About
Nhan Duc Nguyen is a researcher specializing in robotics and intelligent control systems, with a particular focus on adaptive control strategies for mobile robots. His most cited work, "Adaptive Control for Uncertain Model of Omni-directional Mobile Robot Based on Radial Basis Function Neural Network" (2021), has garnered 20 citations, reflecting its significance in addressing real-world challenges in autonomous navigation. Nguyen’s key contributions lie in developing neural network-based adaptive controllers that enable omni-directional mobile robots to maintain stability and precision under uncertain dynamic conditions—a critical advancement for applications in industrial automation, service robotics, and autonomous vehicles. By integrating Radial Basis Function Neural Networks with adaptive control theory, he has provided robust solutions for systems facing parameter variations and external disturbances. His work is notable for bridging theoretical control methods with practical robotic implementations, offering a foundation for future research in adaptive and intelligent robotic systems. Nguyen’s research continues to inspire engineers and academics working on resilient, uncertainty-tolerant robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1