Zhang Hui

Changsha University of Science and Technology, Hunan University

Papers

Total Citations

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About

Dr. Zhang Hui is a pioneering researcher in robotics and intelligent control systems, with a focus on autonomous navigation and adaptive manipulation. His work bridges neural networks, genetic algorithms, and artificial potential fields to solve real-world robotic challenges. Dr. Zhang’s most cited paper, “Adaptive robust control based on RBF neural networks for duct cleaning robot” (2015, 22 citations), introduces a novel control framework that enables robots to operate reliably in confined, unstructured environments—a critical contribution to industrial maintenance and hazardous task automation. Earlier, he advanced mobile robot path planning by integrating neural networks with genetic algorithms (2007, 10 citations), creating a method that models environmental information through neural networks and optimizes trajectories via genetic algorithm fitness functions. His foundational work on improved artificial potential fields (2005, 3 citations) addressed the difficulty of real-time path planning in dynamic worlds, using gradient-based searching to guide robots toward moving goals without exact movement data. Dr. Zhang’s research has directly impacted the development of more autonomous, adaptive robots for complex, real-world applications, from duct cleaning to dynamic obstacle avoidance.