Roger Eggen
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
Top Papers
- 1Distributed Hedonic Coalition Formation for Multi-Robot Task Allocation12 citations · 2021