Sen Huong Thi Pham
Hanoi University of Science and Technology, Electric Power University
Papers
4
Total Citations
37
H-Index
3
About
Sen Huong Thi Pham is a control systems researcher specializing in autonomous mobile robotics, with a focused expertise in advanced trajectory tracking and robust control design for wheeled mobile robots (WMRs). Her work addresses some of the most persistent challenges in mobile robotics, particularly system uncertainties, input disturbances, and wheel slip phenomena that degrade real-world robot performance. Her most influential contribution, a 2019 paper combining backstepping and hierarchical sliding mode techniques for trajectory tracking, has garnered 21 citations and established her as a thoughtful innovator in nonlinear control design. Building on this foundation, her 2020 work introduced an observer-based adaptive control algorithm that accounts for both kinematic and dynamic modeling uncertainties, earning 10 citations and demonstrating her commitment to practically deployable solutions. Her 2023 research further refined sliding mode control with integrated disturbance observers, while her most recent 2025 study marks an exciting methodological expansion into model-free reinforcement learning through Q-learning-based adaptive optimal control. Collectively accumulating over 35 citations, Pham's research trajectory reflects a researcher steadily bridging classical robust control theory with emerging data-driven approaches, making her work increasingly relevant to the next generation of intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
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