Le Minh Thanh
Papers
2
Total Citations
38
H-Index
2
About
Le Minh Thanh is a leading researcher in intelligent robotics and control systems, with a primary focus on the precise and adaptive control of parallel manipulators, particularly Delta robots. His major contributions lie in the development of advanced, hybrid control algorithms that combine neural networks, fuzzy logic, and PID strategies to enhance robotic performance. In his highly cited 2020 work, he pioneered a "Single Neuron PID" algorithm integrated with a Recurrent Fuzzy Neural Network, achieving superior trajectory tracking and robustness for Delta robots. This work, along with his subsequent 2021 study evaluating the quality of intelligent controllers for 3-DOF Delta robots—which has garnered 17 citations—has established a benchmark for adaptive control in high-speed automation. His research directly addresses the challenge of nonlinear dynamics and real-time adaptability in industrial robotics, offering practical solutions for pick-and-place operations and assembly lines. With a combined citation count of nearly 40 for these two pivotal papers, Thanh’s work is recognized for bridging theoretical control innovations with tangible improvements in robotic precision and efficiency.
Research Focus
Key Achievements
Top Papers
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- 2