Roger Eggen

University of North Florida

Papers

1

Total Citations

12

H-Index

1

About

Roger Eggen is a researcher whose work lies at the intersection of multi-robot systems, distributed optimization, and task allocation. His most-cited paper, "Distributed Hedonic Coalition Formation for Multi-Robot Task Allocation" (2021, 12 citations), addresses a critical challenge in robotics: how to optimally partition a set of heterogeneous robots into coalitions to complete tasks that require more than one robot. This work introduces a distributed, game-theoretic approach where robots autonomously form coalitions based on individual preferences, balancing efficiency and scalability. Eggen’s contributions are particularly notable for tackling the complexity of real-world multi-robot coordination, where robots have limited capabilities and must collaborate without centralized control. His research has implications for applications like search-and-rescue, warehouse automation, and environmental monitoring. While his citation count reflects a growing interest in his foundational ideas, Eggen’s work is recognized for its rigorous mathematical modeling and practical relevance. He continues to advance the field by exploring how distributed decision-making can enable more adaptive and resilient robotic teams, making him a promising voice in the future of autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Distributed Hedonic Coalition Formation for Multi-Robot Task Allocation
12 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of North Florida

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago