Papers
3
Total Citations
30
H-Index
3
About
Yumei Huang is a robotics researcher whose work focuses on the localization, navigation, and control of mobile robots, with a particular emphasis on sensor fusion and nonlinear control systems. Her most influential contribution, "Application of data fusion algorithm based on Kalman filter in mobile robot position measuring system" (13 citations), proposes a Kalman filter-based scheme that fuses data from encoders and gyroscopes to reduce pose errors caused by wheel-ground uncertainty—a foundational approach for improving robot positioning accuracy. She further advanced localization techniques in "Omni-Directional Scanning Localization Method of a Mobile Robot Based on Ultrasonic Sensors" (12 citations), where she developed a novel ultrasonic ranging algorithm that accounts for both divergence and incidence angles, significantly enhancing ranging precision. More recently, her work "Predictive Feedback Linearization Tracking Control for WMR Systems with Control Delay" (5 citations) tackles the challenge of control delay in wheeled mobile robots, using state-space transformations to achieve robust trajectory tracking. Huang’s research bridges practical sensor integration with theoretical control design, offering solutions that are directly applicable to autonomous systems. Her contributions to data fusion and delay-compensated control continue to inform advancements in mobile robotics.
Research Focus
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