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About

Huixuan Fu is a robotics researcher specializing in the modeling, control, and autonomous navigation of omnidirectional mobile robots. Their work addresses the fundamental challenges of enabling these highly maneuverable platforms to operate with precision and stability in real-world environments. A key contribution is the use of NARX neural networks to identify the complex, coupled dynamics of an omnidirectional robot during simultaneous rotation and translation, a problem that renders traditional models insufficient. This work, which has garnered 6 citations, provides a foundation for more accurate control. To enhance robustness, Fu has also designed a linear active disturbance rejection controller (LADRC) to improve system performance against external disturbances. Further advancing robot autonomy, their research integrates monocular visual-inertial navigation with SLAM technology for autonomous positioning, achieving 3 citations. By tackling both dynamic identification and robust control, Huixuan Fu’s work is paving the way for more intelligent and resilient mobile robots capable of operating in unstructured environments.