Nguyen Thanh Hoai Nam
Ho Chi Minh City University of Technology, Vietnam National University Ho Chi Minh City
Papers
6
Total Citations
76
H-Index
5
About
Dr. Nguyen Thanh Hoai Nam is a leading researcher in intelligent robotics and adaptive control systems, with a focus on humanoid robots and industrial manipulators. His work centers on developing advanced neural network models and evolutionary optimization algorithms to solve complex problems in robot kinematics and trajectory generation. Dr. Nam’s most impactful contribution is his 2018 paper on adaptive gait generation for humanoid robots, which has garnered 28 citations and introduces an evolutionary neural model optimized by a modified differential evolution technique. He is also recognized for his 2016 work proposing a novel advanced differential evolution method that combines differential evolution with a modified back-propagation algorithm to train adaptive neural models for industrial robot manipulator identification. His research consistently leverages adaptive neural MIMO NARX models for both forward and inverse kinematic identification, as seen in his 2012 and 2013 papers on 3-DOF and 5-DOF robot arms. With over 76 total citations across his most-cited works, Dr. Nam’s innovations in adaptive evolutionary neural control and optimization are shaping the next generation of autonomous, intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3Adaptive evolutionary neural control of perturbed nonlinear serial PAM robot13 citations · 2017
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