Papers
2
Total Citations
11
H-Index
2
About
Dr. Tran Thu Ha is a robotics and control systems researcher whose work focuses on under-actuated systems and intelligent control. Her key research areas include hybrid control, adaptive fuzzy logic, and the stabilization of complex robotic platforms. Dr. Ha’s most notable contribution is the development of a hybrid control strategy for the pendubot—a challenging two-link under-actuated robot—which seamlessly integrates swing-up and balancing phases. This work, published in 2017, was validated experimentally on a physical system built in her lab, demonstrating real-world applicability and earning 7 citations. Earlier, she pioneered an adaptive fuzzy logic controller for robot manipulators (2004, 4 citations), which guarantees global stability and asymptotic tracking error convergence while minimizing a cost function. This foundational work showcases her ability to combine theoretical rigor with practical implementation. Dr. Ha’s research bridges the gap between advanced control theory and physical robotics, making her a respected figure in the field of mechatronics and automation. Her experimental validations and innovative controller designs continue to inspire students and researchers working on nonlinear and under-actuated robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2An adaptive fuzzy logic controller for robot-manipulator4 citations · 2004