Do Thanh Thai

Ho Chi Minh City University of Technology

Papers

Total Citations

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About

Do Thanh Thai is a leading figure in the control of soft and nonlinear robotic systems, with a particular focus on pneumatic artificial muscles (PAMs). His most cited work, "Implementation of adaptive fuzzy sliding mode control for nonlinear uncertain serial pneumatic-artificial-muscle (PAM) robot system," introduces a novel advanced adaptive fuzzy sliding mode control (AAFSMC) approach. This method addresses the critical challenge of stabilizing highly nonlinear, uncertain 2-degree-of-freedom serial PAM robots, providing a rigorous stability proof for the closed-loop system. By integrating fuzzy logic with adaptive sliding mode control, Thai’s contribution enables precise and robust control of bio-inspired actuators, which are inherently complex due to their compliance and nonlinear dynamics. His research bridges the gap between theoretical control design and practical implementation in soft robotics, offering a pathway for safer human-robot interaction. With 3 citations, this foundational work has influenced subsequent studies in adaptive control for soft actuators. Thai’s achievements underscore his role in advancing intelligent control strategies for next-generation robotic systems, making him a key researcher for students interested in nonlinear control, fuzzy systems, and bio-inspired robotics.