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About

Hoang Thien is a robotics researcher specializing in mobile robot control systems, trajectory tracking, and dynamic simulation. His work focuses on developing advanced control strategies for Wheeled Mobile Robots (WMRs), with particular emphasis on differential-drive and Mecanum wheel platforms — two of the most widely used robot configurations in both research and industry. His most influential contribution, "Trajectory Tracking Control for Differential-Drive Mobile Robot by a Variable Parameter PID Controller" (2022), has garnered 47 citations, establishing him as a credible voice in adaptive control design. This work, alongside his exploration of NURBS curve trajectory tracking using linear state feedback dynamic controllers, demonstrates a sophisticated understanding of both classical and modern control theory. Notably, his neural network controller design for Mecanum wheel robots — cited 26 times — addresses a critical practical challenge: reducing computational complexity while maintaining high control performance, making advanced controllers more viable for real hardware implementations. Hoang Thien also contributes meaningfully to dynamic simulation, investigating wheel-road friction interactions and omnidirectional robot dynamics. His growing body of work reflects a research trajectory moving toward increasingly realistic and deployable robotic systems, making his publications valuable reading for students and engineers working at the intersection of control theory and mobile robotics.