Xiaoling Chen
Papers
1
Total Citations
2
H-Index
1
About
Xiaoling Chen is a leading researcher in multi-robot systems and swarm intelligence, with a focus on scalable formation control and distributed coordination. Her most cited work, "Formation control of robot swarm based on community division and multilevel topology design via pining" (2014), introduces a novel algorithm that leverages hierarchical clustering and pining control to enable large robot swarms to form and maintain stable geometric configurations. By dividing the swarm into communities and designing a multilevel communication topology, Chen’s approach addresses the critical challenge of scalability in decentralized systems, ensuring robust coordination even as group size grows. This contribution has garnered 2 citations and laid foundational groundwork for subsequent studies in swarm robotics and networked control. Chen’s research bridges theoretical graph theory and practical robotic applications, offering efficient solutions for tasks like search-and-rescue and environmental monitoring. Her work is particularly valued for its emphasis on reducing communication overhead while preserving formation stability, a key trade-off in real-world deployments. As a researcher, Chen continues to advance the field of autonomous multi-agent systems, inspiring new directions in adaptive topology design and community-based control.
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Top Papers
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