Xiaoqian Huang

Papers

1

Total Citations

2

H-Index

1

About

Xiaoqian Huang is a robotics and control systems researcher whose work focuses on the design and implementation of autonomous mobile platforms, particularly in the domain of self-balancing robotic systems. Their most notable contribution centers on the development of a two-wheeled obstacle-traversing vehicle grounded in flywheel inverted pendulum principles — a creative approach that yields a more compact robot architecture capable of navigating confined spaces inaccessible to conventional mobile robots. By leveraging reverse torque control mechanisms, Huang's implementation advances the practical viability of self-balancing robots in real-world environments where spatial constraints pose significant engineering challenges. This 2021 work has begun attracting scholarly attention, accumulating citations that reflect growing interest in compact, dynamically stable robotic platforms. Huang's research sits at the intersection of classical control theory and modern robotics engineering, demonstrating how foundational physical principles — such as the inverted pendulum model — can be creatively reapplied to solve contemporary mobility challenges. For students and researchers exploring autonomous systems, balance control, or mechatronics design, Huang's work offers a compelling example of translating theoretical frameworks into functional, innovative robotic solutions.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Research and Implementation of Self-Balancing Obstacle Vehicle Based On the Principle of Flywheel Inverted Pendulum
2 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 1

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago