Liuying Wu

Papers

Total Citations

119

H-Index

About

Liuying Wu is a leading researcher in bioinspired intelligent algorithms and mobile robot control, with a particular focus on path planning and adaptive navigation systems. Her work bridges computational intelligence and robotics, developing nature-inspired methods that enhance autonomous decision-making in dynamic environments. Her most-cited survey, "Bioinspired Intelligent Algorithm and Its Applications for Mobile Robot Control: A Survey" (2015, 92 citations), provides a comprehensive overview of how biologically inspired computing—mimicking neural and behavioral mechanisms—can be applied to robotic systems, advancing both theoretical neuroscience and practical control engineering. In a key contribution, Wu introduced an improved genetic algorithm with variable-length chromosomes for robot path planning (2016, 27 citations), which adaptively optimizes routes by dynamically adjusting solution structures and fitness evaluation. This innovation improves the adaptability and efficiency of mobile robots in complex, changing terrains. With over 119 combined citations on these foundational works, Wu’s research has influenced the development of more intelligent, flexible autonomous systems. Her achievements highlight a commitment to translating biological principles into robust engineering solutions, making her work essential reading for students and researchers in robotics, computational intelligence, and autonomous navigation.