Papers

6

Total Citations

113

H-Index

4

About

Elpiniki I. Papageorgiou is a leading researcher at the intersection of computational intelligence, multi-robot systems, and human-robot interaction. Her work centers on developing advanced decision-making frameworks—particularly Dynamic Fuzzy Cognitive Maps (FCMs) and Ant Colony Optimization—to enable autonomous coordination in complex, real-world environments. A standout contribution is her highly cited 2020 paper on multi-robot exploration for disaster rescue (76 citations), which addresses the critical challenge of reducing response time in victim recovery operations. She has also pioneered the use of FCMs for visual servoing of flying robots and for dynamic movement recognition in agricultural settings, where unpredictable conditions demand robust human-robot communication. More recently, her 2025 comparative analysis of centralized versus decentralized coordination in aerial-ground robotic teams (2 citations) advances the field of precision agriculture. With additional work in digital game-based learning for robotics education, Papageorgiou’s research spans from foundational theory to applied, life-saving technologies. Her contributions have been recognized through sustained citation impact and a growing portfolio of papers that bridge fuzzy cognitive modeling with practical robotic autonomy.

Research Focus

Key Achievements

4
H-Index
6
Papers
113
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Multi-robot exploration using Dynamic Fuzzy Cognitive Maps and Ant Colony Optimization
76 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: University of Thessaly, Technological Educational Institute of Central Greece

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago