Xiaochuan Cao

Huazhong University of Science and Technology

Papers

Total Citations

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About

Xiaochuan Cao is a researcher specializing in mobile robotics, control systems, and intelligent vehicle dynamics. His work focuses on advancing the autonomy and stability of skid-steered mobile robots, particularly in challenging off-road environments. Cao’s most notable contribution is the development of a path tracking control system that integrates fuzzy logic with model predictive control (MPC) to enable precise navigation on sloped terrains. This approach, detailed in his highly cited 2022 paper, addresses critical issues of traction and stability, offering a robust solution for agricultural, military, and search-and-rescue robots operating on uneven ground. With 18 citations to date, this work has been recognized for its practical impact on real-time control in complex outdoor settings. Cao’s research bridges theoretical control theory and applied robotics, providing a foundation for safer and more efficient autonomous navigation. His achievements highlight a commitment to solving real-world mobility challenges, making his work essential reading for students and engineers interested in intelligent vehicle control and field robotics.