Meihua Wu

Shandong University of Science and Technology

Papers

Total Citations

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About

Meihua Wu’s research focuses on intelligent robotics and optimization algorithms, with a particular emphasis on mobile robot path planning. Her major contributions lie in advancing genetic algorithms to solve complex navigation problems. In her highly cited 2017 work, she proposed a novel path planning algorithm that incorporates gene rearrangement, using a multi-plane model to enhance search efficiency—a paper that has garnered 20 citations. Building on this, she developed an improved genetic algorithm that addresses the limitations of traditional approaches by employing grid-based environment modeling and fixed-length serial number coding, earning 16 citations. These contributions have significantly improved the adaptability and performance of autonomous robot navigation in constrained environments. Wu’s work is notable for its practical impact on robotics and automation, offering more robust solutions for real-world path planning challenges. Her research continues to influence the field of mobile robotics, making her a key figure in the development of intelligent navigation systems.