Papers
3
Total Citations
13
H-Index
2
About
Xinghui Li is a robotics researcher whose work spans autonomous systems, dynamic control, and intelligent robotic manipulation. Li is perhaps best recognized for pioneering contributions to self-balancing unicycle robot systems, investigating the complex nonlinear dynamics that govern these mechanically challenging platforms. Using rigorous mathematical frameworks — including Lagrangian formulation and Linear Quadratic Regulator (LQR) control strategies — Li developed sophisticated algorithms enabling unicycle robots to maintain stability across both longitudinal and lateral planes, even on inclined surfaces. These foundational studies, published in 2012 and 2013, have collectively garnered over a dozen citations, establishing Li as a credible voice in underactuated robotic control theory. More recently, Li expanded research interests into vision-based mobile robotics, designing a multi-sensor grabbing robot capable of indoor target detection and manipulation using quadric fitting techniques combined with a six-axis mechanical arm. This 2021 work demonstrates Li's evolution toward integrated robotic systems that bridge perception, navigation, and physical interaction. Across this body of work, Li consistently addresses real-world engineering challenges in autonomous robotics, contributing meaningful theoretical and applied insights that support the growing field of intelligent, self-stabilizing robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1LQR Control for a Self-Balancing Unicycle Robot on Inclined Plane6 citations · 2012
- 2
- 3Mobile Grabbing Robot with Target Detection Using Quadric Fitting2 citations · 2021