Zhihua Cui

Taiyuan University of Science and Technology

Papers

Total Citations

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About

Zhihua Cui is a leading researcher in swarm intelligence and multi-robot systems, with a focus on optimization algorithms for real-world autonomous coordination. His major contributions lie in developing bio-inspired and physics-based models to solve complex robotic tasks, such as victim search in disaster scenarios and task allocation in intelligent warehouses. Cui’s most cited work, "Swarm robots search based on artificial physics optimisation algorithm" (2013, 20 citations), introduced a novel approach that applies artificial physics optimisation (APO) to guide swarm robots in efficiently locating targets, offering a robust solution for search-and-rescue operations. He further advanced the field with an adaptive hybrid response mechanism for dynamic multi-objective optimization (2025, 6 citations), addressing the challenges of multi-robot task allocation in changing environments. His optimization task scheduling model for multi-robot systems in intelligent warehouses (2022, 5 citations) demonstrates practical applications in logistics and automation. Through these works, Cui has significantly impacted swarm robotics, bridging theoretical optimization with deployable multi-agent systems, and continues to shape research in autonomous coordination and adaptive robotics.