Gao Li
Papers
1
Total Citations
3
H-Index
1
About
Dr. Gao Li is a researcher in swarm robotics and autonomous control systems, with a focused interest in bio-inspired multi-agent coordination for real-world applications. Their most notable contribution is the development of an innovative control algorithm for artificial swarm formations, as detailed in their 2020 paper "An Artificial Swan Formation Using the Finsler Measure in the Dynamic Window Control." This work addresses the practical challenge of coordinating large groups of unmanned robots—modeled as artificial swans—to expel intruding objects, such as geese, in scenarios like airport bird control. By extending the widely used Dynamic Window Approach (DWA) with a novel Finsler measure term, Dr. Li introduced a more robust and adaptive method for swarm navigation and obstacle repulsion. While the paper has garnered 3 citations to date, its conceptual foundation in geometric control and biomimicry offers a promising framework for future research in autonomous swarm defense systems. Dr. Li’s work bridges theoretical advances in control theory with pressing operational needs, marking a creative step toward safer, automated wildlife management solutions.
Research Focus
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Top Papers
- 1