Hao-ze Zhuo

Papers

Total Citations

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About

Hao-ze Zhuo is a researcher at the forefront of intelligent robotics and control systems, with a primary focus on trajectory tracking and autonomous navigation for ground mobile robots. His most influential work, "Research on ground mobile robot trajectory tracking control based on MPC and ANFIS" (2024), has already garnered 17 citations, reflecting its timely impact on the field. In this study, Zhuo pioneered a hybrid control framework that synergizes Model Predictive Control (MPC) with Adaptive Neuro-Fuzzy Inference Systems (ANFIS), addressing critical challenges in real-time path following under dynamic and uncertain environments. This contribution offers a robust solution for enhancing the precision and adaptability of mobile robots, with significant implications for applications in logistics, agriculture, and autonomous driving. Zhuo’s work stands out for its innovative fusion of classical optimization and machine learning, bridging theoretical control design with practical deployment. His research not only advances the state of the art in mobile robotics but also provides a scalable methodology for future autonomous systems. As a rising voice in control engineering, Zhuo continues to push boundaries, making his contributions essential reading for students and researchers exploring intelligent navigation and adaptive control.