Papers
11
Total Citations
194
H-Index
6
About
Tien Dung Le is a robotics and control systems researcher whose work has made significant contributions to the modeling, simulation, and advanced control of robot manipulators. His research spans two primary domains: the computational modeling of robotic systems and the development of sophisticated sliding mode control strategies for uncertain and nonlinear environments. Le's early influential work introduced a practical methodology for modeling robot manipulators in MATLAB-SimMechanics with PD control and online gravity compensation (2010, 49 citations), providing a widely adopted framework for robotics education and simulation. Building on this foundation, he advanced the field through a series of innovative control algorithms, including Fast Terminal Sliding Mode Control (2020, 37 citations), Synchronization Full-Order Terminal Sliding Mode Control for parallel manipulators (2019, 30 citations), and adaptive controllers leveraging radial basis function networks (2014, 30 citations). His research consistently addresses real-world challenges such as system uncertainties, disturbance rejection, and precise trajectory tracking. Le has further explored the integration of neural networks and fuzzy logic into robust control frameworks, demonstrating a commitment to intelligent, adaptive control systems. With over 190 cumulative citations, his body of work represents a meaningful and practical contribution to modern robotics research, offering tools and methodologies valuable to both academic researchers and practicing engineers.
Research Focus
Key Achievements
Top Papers
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- 8Position Accuracy Improvement of Robots having Closed-Chain Mechanisms4 citations · 2014
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