Lingyan Xue
Papers
1
Total Citations
11
H-Index
1
About
Dr. Lingyan Xue is a prominent researcher in computational intelligence and autonomous navigation, whose work centers on developing advanced optimization algorithms for mobile robotics. Her most significant contribution is the hybrid artificial bee colony algorithm with a genetic augmented exploration mechanism (HABC-GA), introduced in her highly cited 2024 paper. This innovative approach directly addresses the critical challenge of safe and smooth path planning for mobile robots, enabling efficient, collision-free navigation in complex environments. The HABC-GA method has already garnered 11 citations, reflecting its immediate impact on the field. Dr. Xue’s research bridges nature-inspired swarm intelligence and evolutionary computation, offering practical solutions for autonomous systems. Her work is notable for its application-oriented focus, ensuring that theoretical advances translate into real-world robotic performance. By enhancing both safety and path smoothness, Dr. Xue’s algorithms are paving the way for more reliable and efficient autonomous navigation, making her a key figure in the ongoing evolution of intelligent robotics.
Research Focus
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Top Papers
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