Zhang-Hua Fu

Institute of Art, Chinese University of Hong Kong, Shenzhen

Papers

Total Citations

H-Index

About

Zhang-Hua Fu is a leading researcher in modular robotics and autonomous warehouse logistics, with a focus on developing efficient algorithms for multi-robot coordination and task planning. His work addresses critical challenges in self-assembly and large-scale robotic systems, particularly in environments with obstacles and dynamic constraints. Fu’s most cited paper (2021, 5 citations) introduces a parallel self-assembly planning algorithm for modular robots, overcoming previous limitations by enabling efficient docking actions even in obstacle-laden environments—a significant advancement for real-world deployment. His 2022 study (4 citations) tackles the cooperative scheduling of hundreds of fetch and freight robots in autonomous warehouses, improving upon systems like Kiva by reducing redundant shelf movements and minimizing manual intervention. Additionally, his 2019 work (3 citations) presents a novel 2-opt operator for the robotic task sequencing problem, optimizing AGV routes in factories and logistics hubs. With a growing citation impact, Fu’s contributions are pivotal for scalable, autonomous systems, blending theoretical rigor with practical applications. His research continues to influence the next generation of intelligent robotics, offering solutions that enhance efficiency and adaptability in complex, real-world environments.