Yaguang Wang
Papers
1
Total Citations
2
H-Index
1
About
Yaguang Wang is a researcher in robotics and control systems, with a primary focus on the dynamics and disturbance rejection of two-wheeled self-balanced robots (TWSBRs). His work addresses a critical challenge in mobile robotics: maintaining stability and control on uneven or unpredictable surfaces. In his most cited paper, "Research of Two-Wheeled Self-Balanced Robot's Disturbance Rejection Control on Uneven Pavement" (2018, 2 citations), Wang developed an undulating model to simulate real-world terrain and proposed advanced control strategies to enhance robot robustness against external disturbances. This contribution is foundational for improving the practical deployment of self-balancing robots in outdoor or non-ideal environments, where traditional control methods often fail. While his citation count is modest, Wang’s research is notable for its targeted approach to a specific, real-world problem—bridging the gap between theoretical control design and physical terrain challenges. His work serves as a stepping stone for engineers and researchers aiming to make two-wheeled robots more reliable in everyday applications, from personal transport to autonomous inspection tasks.
Research Focus
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Top Papers
- 1