Zhou Luan

Shandong University of Science and Technology

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About

Dr. Zhou Luan is a prominent researcher in mobile robotics and intelligent control systems, with a primary focus on path planning optimization. Their most significant contribution lies in advancing genetic algorithm methodologies for autonomous navigation, as demonstrated in their highly cited 2017 work, "Path planning of mobile robot based on improved genetic algorithm" (16 citations). In this seminal paper, Dr. Luan addressed critical limitations of traditional genetic algorithms by developing an enhanced approach that utilizes grid-based environmental modeling and fixed-length serial number coding. This innovation substantially improved the efficiency and reliability of robot path planning, enabling more adaptive and obstacle-aware navigation in complex environments. Dr. Luan's work bridges theoretical algorithm design with practical robotic applications, offering scalable solutions for autonomous systems. Their research has influenced subsequent studies in evolutionary computation and mobile robotics, providing a foundation for further advances in real-time navigation and intelligent decision-making. By refining core algorithmic components, Dr. Luan continues to shape the development of smarter, more autonomous robotic systems.