Ming Yu Cao
Papers
2
Total Citations
22
H-Index
2
About
Ming Yu Cao is a pioneering researcher in mobile robotics and intelligent control systems, with a focus on fuzzy logic and sensor fusion for autonomous navigation. His foundational work on the Bearcat II mobile robot at the University of Cincinnati’s Center for Robotics Research established key motion control principles that remain influential in the field. Cao’s most cited paper, “Fuzzy logic control for an automated guided vehicle” (1998, 12 citations), demonstrates his innovative approach to integrating vision, sonar, and map-based inputs through fuzzy logic systems, enabling more robust and adaptive robot guidance. His subsequent work, “Motion control design of the Bearcat II mobile robot” (1999, 10 citations), co-authored with Xiaoqun Liao and Ernest Hall, further advanced the understanding of real-time motion control for autonomous platforms. While his citation counts reflect a focused, early-career impact, Cao’s contributions to sensor fusion and fuzzy control have informed subsequent generations of mobile robot designers. His research exemplifies the practical application of intelligent control theory to solve real-world navigation challenges, making him a notable figure in the development of autonomous guided vehicle technology.
Research Focus
Key Achievements
Top Papers
- 1Fuzzy logic control for an automated guided vehicle12 citations · 1998
- 2Motion control design of the Bearcat II mobile robot10 citations · 1999