Matthew Rantanen

University at Buffalo, State University of New York

Papers

2

Total Citations

24

H-Index

2

About

Matthew Rantanen is a robotics researcher whose work focuses on the critical intersection of multi-robot coordination and real-world communication constraints. His primary research areas include decentralized task allocation, multi-agent systems, and resilient swarm robotics. Rantanen’s major contribution lies in challenging the long-held assumption of perfect communication in multi-robot algorithms, demonstrating through rigorous simulation studies how network loss and latency impact coordination performance. His 2019 paper, "Decentralized Task Allocation in Lossy Networks," with 13 citations, shows that as hardware advances bring robot swarms closer to daily life, practical communication failures must be addressed. His 2018 work on the Asynchronous Consensus Based Bundle Algorithm, cited 11 times, further quantifies performance degradation in lossy environments. Together, these papers form an essential foundation for designing robust, real-world swarm systems. Rantanen’s research is particularly notable for bridging the gap between theoretical algorithm development and the messy realities of wireless networks, making his work highly relevant for students and engineers building deployable multi-robot systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
24
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Decentralized Task Allocation in Lossy Networks: A Simulation Study
13 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University at Buffalo, State University of New York

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago