G. Matthew Fricke

University of New Mexico, University of Kaiserslautern

Papers

12

Total Citations

187

H-Index

8

About

G. Matthew Fricke is a robotics and artificial intelligence researcher whose work sits at the intersection of swarm robotics, bio-inspired algorithms, and autonomous systems. His most significant contributions center on developing efficient search and foraging strategies for robot swarms, drawing inspiration from biological systems ranging from the human immune system to animal foraging behavior. His landmark 2016 paper introducing the Distributed Deterministic Spiral Algorithm (DDSA) garnered 45 citations, establishing a foundational approach to coordinated swarm search. Fricke has persistently bridged the gap between theoretical swarm robotics and real-world deployment, as evidenced by his influential 2020 review on swarm foraging practice and multiple studies comparing simulated versus physical robot performance. His bio-inspired work, modeling T cell movement and Lévy search patterns for robotic applications, reflects a creative cross-disciplinary approach that has proven highly generative. Notably, his involvement with the Swarmathon competition demonstrates a commitment to broadening participation in robotics among underrepresented students. More recently, Fricke has extended swarm robotics into high-stakes environmental applications, deploying flocking UAVs to autonomously map volcanic CO₂ emissions — work that exemplifies how swarm intelligence can tackle genuinely dangerous, real-world scientific challenges.

Research Focus

Key Achievements

8
H-Index
12
Papers
187
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
A distributed deterministic spiral search algorithm for swarms
45 citations · 2016
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: University of New Mexico, University of Kaiserslautern

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago