Siqing Ma
Papers
1
Total Citations
3
H-Index
1
About
Siqing Ma is a researcher in swarm robotics and multi-agent control systems, with a particular focus on bio-inspired coordination and obstacle management. Their most notable contribution is the development of an artificial swarm formation algorithm that uses the Finsler measure within the Dynamic Window Control framework, as detailed in their 2020 paper, which has garnered 3 citations. This work addresses the practical challenge of coordinating large numbers of unmanned robots—modeled as artificial swans—to expel invading objects, such as geese, in applications like airport bird control. By extending the existing Dynamic Window Algorithm with a novel geometric term, Ma’s approach enhances real-time navigation and formation stability under dynamic constraints. While still early in their citation impact, this research demonstrates a creative intersection of control theory and applied robotics, offering a scalable solution for environmental management. Ma’s work is particularly relevant for researchers in swarm intelligence, autonomous systems, and human-robot interaction, showcasing how theoretical advances can directly inform real-world deployment.
Research Focus
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Top Papers
- 1