Thi Thuong Than
Papers
1
Total Citations
3
H-Index
1
About
Thi Thuong Than is a robotics researcher whose work centers on adaptive control and intelligent systems for robotic motion. Her most-cited paper, "Learning and Uncertainty Compensation in Robotic Motion Systems using Li-Slotine Adaptive Tracking and Intelligent Adaptive Control" (2025, 3 citations), tackles a fundamental challenge in robotics: maintaining stability and precision in the presence of system uncertainties. In this work, Than explores two complementary approaches—Li-Slotine adaptive control, grounded in Lyapunov theory, and Iterative Learning Control (ILC)—to enable robots to learn from and compensate for unknown dynamics. Her contributions lie in bridging rigorous theoretical guarantees with practical learning-based methods, offering a framework that ensures both stability and adaptability in real-time motion tasks. While early in her citation trajectory, Than’s research addresses a critical gap in robotic control, making her a promising voice in the field. Her work is particularly relevant for students and researchers interested in the intersection of control theory, machine learning, and autonomous systems, where her insights into uncertainty compensation could shape future developments in adaptive robotics.
Research Focus
Key Achievements
Top Papers
- 1