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About

Hiep Do Quang is a robotics researcher whose work centers on autonomous mobile robot navigation, motion control, and intelligent systems design. His research has made meaningful contributions to the development of omnidirectional and differential drive mobile robots, particularly through the integration of the Robot Operating System (ROS) as a foundational platform for real-world implementation. Among his most recognized contributions is his work on Simultaneous Localization and Mapping (SLAM) and navigation stacks for four-wheeled omnidirectional robots, which has garnered over 40 citations across two closely related studies. His 2022 work on Nonlinear Model Predictive Control (NMPC) for autonomous navigation further demonstrates his progression toward sophisticated control architectures. More recently, Hiep has explored advanced trajectory tracking algorithms, including Adaptive Fuzzy Dynamic Surface Control for Mecanum-wheeled platforms and Dynamic Surface Control for differential drive robots — the latter addressing the practical challenge of wheel slip in kinematic modeling. Collectively, his publications reflect a trajectory from foundational navigation system design toward increasingly refined and robust control strategies, positioning him as a developing voice in the mobile robotics community with growing influence among students and engineers working at the intersection of control theory and autonomous systems.