Trinh Thi Khanh Ly
Papers
11
Total Citations
161
H-Index
8
About
Trinh Thi Khanh Ly is a robotics and control systems researcher whose work centers on mobile robot motion control, trajectory tracking, and autonomous navigation. Her research has made significant contributions to the development of advanced control strategies for wheeled mobile robots (WMRs), particularly differential-drive and mecanum wheel platforms. She has pioneered practical approaches to PID controller design, including variable-parameter and time-varying parameter variants, demonstrating how classical control frameworks can be adapted to solve complex nonlinear trajectory tracking problems with high precision. Her most cited work, a 2022 study on variable parameter PID control for differential-drive robots (47 citations), reflects her ability to bridge theoretical control design with real-world robotics implementation. Her exploration of neural network controllers and linear state feedback methods — including applications to NURBS curve trajectories — showcases a versatile, forward-thinking research portfolio. With over 155 total citations across her publications, her work has gained notable traction in the robotics community. Additional contributions to obstacle avoidance algorithms, sensor fusion using Kalman filtering, and dynamic simulation further demonstrate her commitment to developing fully integrated autonomous mobile robot systems suitable for practical indoor environments.
Research Focus
Key Achievements
Top Papers
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- 2A Neural Network Controller Design for the Mecanum Wheel Mobile Robot26 citations · 2023
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