Papers
1
Total Citations
4
H-Index
1
About
Quoc-Hoang Do is a robotics researcher specializing in the modeling, control, and optimization of under-actuated systems, with a particular focus on two-wheeled self-balancing robots. His work addresses the fundamental challenges of stabilizing nonlinear, multiple input-multiple output (MIMO) systems that are inherently complex and difficult to control. Do’s most cited paper, “Modeling and Optimal Control for Two-Wheeled Self-Balancing Robot” (2024, 4 citations), tackles the inverted pendulum model—a classic yet demanding problem in robotics. By developing advanced control strategies for this under-actuated system with six state variables, he contributes to the practical realization of agile, self-balancing platforms. His research has implications for mobile robotics, autonomous vehicles, and human-assistive technologies. Though early in his career, Do’s work demonstrates a strong foundation in nonlinear dynamics and optimal control, positioning him as an emerging voice in the field. His efforts to bridge theoretical control theory with real-world robotic applications make his research valuable for students and engineers seeking robust solutions for unstable, multi-variable systems.
Research Focus
Key Achievements
Top Papers
- 1Modeling and Optimal Control for Two-Wheeled Self-Balancing Robot4 citations · 2024