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

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Modeling and Optimal Control for Two-Wheeled Self-Balancing Robot
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Ho Chi Minh City University of Technology and Engineering

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago