Yangqi Lei
Papers
1
Total Citations
2
H-Index
1
About
Yangqi Lei is a rising researcher in swarm robotics and multi-agent systems, with a focus on scalable, decentralized control strategies for large robot collectives. Their key contributions center on developing mean-field-based approaches to manage swarm density and navigation in constrained environments. Lei’s most cited work, “Mean-Field-Based Density Control for Swarm Robotics Passing-Through a Virtual Tube” (2024), introduces a novel framework that bridges local agent interactions with global density regulation, enabling swarms to traverse obstacle-dense corridors without centralized coordination. This approach addresses a critical gap in swarm robotics—analyzing and controlling emergent global behaviors from local rules. With 2 citations already in its first year, the paper signals growing interest in Lei’s methodology. Their research has implications for search-and-rescue, environmental monitoring, and autonomous logistics, where large robot teams must operate safely in cluttered spaces. By combining control theory with probabilistic density models, Lei offers a mathematically rigorous path to predictable swarm behavior, making their work a valuable reference for students and engineers seeking to design robust, scalable multi-robot systems.
Research Focus
Key Achievements
Top Papers
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