Yu Wen
Papers
2
Total Citations
5
H-Index
1
About
Yu Wen is a rising researcher in multi-robot systems and autonomous navigation, with a focused expertise in cooperative target enclosing and tracking under practical constraints. Their major contributions address the fundamental challenge of enabling robot teams to dynamically surround and follow a moving target while respecting critical motion limits and field-of-view (FOV) restrictions—a problem vital for surveillance, search-and-rescue, and environmental monitoring. In their highly cited 2024 work, "Enclose and Track a Target of Mobile Robot With Motion and Field of View Constraints Based on Relative Position Measurement," Wen introduced a systematic design approach that leverages only relative position measurements to generate reference trajectories, achieving robust performance without requiring global localization. This paper has already garnered 4 citations, signaling its early impact. Building on this foundation, their subsequent work on adaptive formation strategies further refined the approach, demonstrating versatility in handling dynamic environments. Wen’s research stands out for bridging theoretical control design with real-world sensor limitations, offering practical solutions for multi-agent coordination. Their achievements mark them as a promising contributor to the field, with potential to influence future autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2