Tran Quang Huy
Papers
2
Total Citations
27
H-Index
2
About
Dr. Tran Quang Huy is a robotics researcher whose work focuses on the control of complex, uncertain mechanical systems. His primary research areas include adaptive reinforcement learning, nonlinear system control, and the motion/force control of nonholonomic robotic platforms. Dr. Huy’s major contributions lie in developing sophisticated control strategies that address the inherent challenges of real-world robotics—namely, unknown dynamics, external disturbances, and nonholonomic constraints. His most cited work, "Sliding Variable-based Online Adaptive Reinforcement Learning of Uncertain/Disturbed Nonlinear Mechanical Systems" (2021, 23 citations), introduces a novel approach that combines sliding mode control with reinforcement learning to enable robots to adapt and perform reliably even under significant uncertainty. This work is complemented by his earlier study on "Cascade Motion/Force Control Strategy of nonholonomic Wheeled Mobile Robotic Systems" (2019, 4 citations), which tackles the specific control challenges of wheeled mobile robots (WMRs) by proposing a cascade architecture to manage both motion and force. Through these contributions, Dr. Huy is advancing the practical deployment of autonomous systems in unstructured environments, making his research highly relevant for students and engineers working on resilient, adaptive robotic control.
Research Focus
Key Achievements
Top Papers
- 1
- 2