Ruoyu Lin

University of California, Irvine

Papers

4

Total Citations

19

H-Index

3

About

Ruoyu Lin is a rising researcher in multi-robot systems and distributed control, with a focus on bio-inspired heterogeneous coverage and pursuit strategies. Their work bridges control theory and natural predator-prey dynamics, introducing novel frameworks where robot teams with diverse sensing and operational capabilities collaborate to track, pursue, or evade targets. A key contribution is the development of coverage control laws driven by reaction-diffusion and Fokker–Planck equations, enabling adaptive, decentralized coordination in dynamic environments. Lin’s most cited paper (2023, 7 citations) models predator-prey interactions through heterogeneous coverage, while subsequent work extends these ideas to multi-target tracking (6 citations) and collaborative pursuit (3 citations). Their research on coverage control over special Euclidean groups (3 citations) further demonstrates mathematical rigor in addressing pose-sensitive tasks. Though early in their career, Lin’s integration of stochastic processes, geometric control, and swarm intelligence has already attracted attention, positioning them as a promising voice in autonomous systems and cooperative robotics.

Research Focus

Key Achievements

3
H-Index
4
Papers
19
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Predator-Prey Interactions Through Heterogeneous Coverage Control Using Reaction-Diffusion Processes
7 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of California, Irvine

Top Papers

  1. 1
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  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago