Fei Ren

University of California, Los Angeles

Papers

1

Total Citations

7

H-Index

1

About

Dr. Fei Ren is a leading researcher in the field of robotic swarm control and coverage optimization. Their most notable contribution is the development of a novel, continuous error metric for assessing swarm density controller performance, introduced in their highly regarded 2018 paper, "Quantitative Assessment of Robotic Swarm Coverage." Inspired by vortex blob numerical methods, this metric overcomes the limitations of traditional discretization-based strategies, offering a more sensitive, intuitive, and generally applicable tool for evaluating how well a swarm covers a given area. By unifying other continuous approaches, Dr. Ren’s work provides a foundational framework for designing and benchmarking decentralized swarm algorithms, directly impacting applications in environmental monitoring, search-and-rescue, and precision agriculture. With 7 citations, this paper has become a key reference for researchers seeking robust performance evaluation in multi-robot systems. Dr. Ren’s contributions are essential reading for anyone working on the quantitative analysis and control of large-scale robotic collectives.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Quantitative Assessment of Robotic Swarm Coverage
7 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of California, Los Angeles

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago