Papers
1
Total Citations
14
H-Index
1
About
Wen Gu is a robotics researcher whose work focuses on the dynamic modeling and control of underactuated systems, with a particular emphasis on two-wheeled vehicles. His most notable contribution is the development of a method for the static balancing of a robotic bicycle at zero velocity—a challenging problem in nonlinear control. In his highly cited 2018 paper, Gu advanced beyond conventional bicycle dynamics by deriving a novel linearized dynamic equation valid near large steer angles. This breakthrough allowed him to apply Linear Quadratic Regulator (LQR) control to stabilize the bicycle when stationary, a feat that had previously eluded researchers. His work bridges the gap between theoretical nonlinear dynamics and practical robotic control, offering a foundation for next-generation autonomous two-wheeled transport. With over a dozen citations on this single paper, Gu’s research has already influenced peers working on balance and stabilization in mobile robotics. His approach—combining rigorous mathematical modeling with clever control design—exemplifies how classical mechanics can be harnessed to solve modern robotic challenges.
Research Focus
Key Achievements
Top Papers
- 1Static Balancing of Robotic Bicycle through Nonlinear Modeling and Control14 citations · 2018