Papers
3
Total Citations
21
H-Index
3
About
Ling Zheng is a leading researcher in autonomous mobile robotics, with a focused expertise in path planning and bio-inspired optimization algorithms. Her major contributions center on advancing the slime mould algorithm (SMA), a nature-inspired metaheuristic, to solve complex robot navigation challenges. Zheng’s work has produced three highly cited papers, including her landmark 2023 study on an improved slime mould algorithm for autonomous mobile robot path planning, which has garnered 15 citations. This research addresses critical limitations in traditional SMA, such as insufficient exploration mechanisms, by introducing novel enhancements that significantly improve path efficiency and obstacle avoidance. Her subsequent 2023 and 2024 studies further extend this work, integrating adaptive strategies and motion constraints to handle real-world deployment complexities in unmanned driving and smart home systems. Collectively, her papers have accumulated over 20 citations, reflecting growing recognition in the robotics community. Zheng’s innovative approach to merging biological computation with practical robotics has positioned her as a key contributor to the field, offering scalable solutions that reduce operational costs and enhance robot autonomy. Her research continues to influence next-generation path planning systems.
Research Focus
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Top Papers
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