Guiyi Zhao
Papers
1
Total Citations
3
H-Index
1
About
Guiyi Zhao is a robotics researcher whose work focuses on the dynamic control and stabilization of two-wheeled mobile robots, a domain that bridges mechanical engineering, sensor fusion, and real-time control systems. Their most-cited paper, "A method to coordinate balance and speed control of a two-wheeled robot" (2017), addresses the fundamental challenge of maintaining stability in an inherently unstable system while simultaneously regulating forward motion. Zhao’s key contribution lies in the application of Kalman filtering to fuse gyroscope and accelerometer data, enabling accurate pitch-angle estimation—a critical step for robust balance control. This work has garnered 3 citations, reflecting its niche but foundational role in the field. By tackling the coordination of balance and speed, Zhao’s research offers practical insights for developing agile, self-balancing robots with potential applications in personal transportation, autonomous inspection, and service robotics. Their approach exemplifies how sensor integration and control theory can overcome the kinetic instability that defines two-wheeled platforms, making their findings valuable for students and engineers exploring advanced robot locomotion.
Research Focus
Key Achievements
Top Papers
- 1A method to coordinate balance and speed control of a two-wheeled robot3 citations · 2017