Xihui Xue
Papers
2
Total Citations
158
H-Index
2
About
Xihui Xue is a leading researcher in constrained evolutionary optimization and bio-inspired robotics. Her work tackles the fundamental challenge of balancing constraints with objective functions in evolutionary algorithms. In her highly cited 2019 paper (110 citations), she pioneered the first method to utilize the correlation between constraints and the objective function, offering a novel and effective approach to maintain this delicate balance—a breakthrough that has significantly advanced the field of constrained optimization. In robotics, Xue has made notable contributions to adaptive locomotion. Her 2018 study (48 citations) on Matsuoka’s central pattern generator (CPG) demonstrated how to generate desired rhythmic signals with proper frequencies, phases, and shapes for adaptive walking in humanoid robots. This work bridges theoretical neuroscience-inspired models with practical robotic control, enabling more natural and resilient gait generation. Through these contributions, Xue has established herself as a key figure whose research directly addresses core problems in both computational intelligence and robotic locomotion, earning recognition for its originality and practical impact.
Research Focus
Key Achievements
Top Papers
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