Yiannis Stergiopoulos

University of Patras

Papers

6

Total Citations

122

H-Index

6

About

Yiannis Stergiopoulos is a leading researcher in distributed robotic networks, with a primary focus on area coverage optimization, multi-agent coordination, and control of unmanned aerial systems. His seminal work on spatially distributed area coverage with anisotropic sensing patterns (2012, 44 citations) established foundational methods for deploying mobile sensor networks over complex regions. Stergiopoulos made significant contributions to coverage control under uncertainty, developing innovative partitioning schemes—such as the Guaranteed Voronoi (GV) principle—that enable robust performance even when robot localization is imprecise (2018, 23 citations; 2016, 21 citations). His research uniquely bridges theoretical rigor and practical implementation, demonstrated through both simulation and experimental studies (2016, 10 citations). Beyond ground robotics, Stergiopoulos has advanced aerial manipulation, modeling and controlling UAVs with attached manipulators using recursive Newton-Euler dynamics (2016, 13 citations). His work on connectivity-aware coordination (2012, 11 citations) simultaneously optimizes coverage while maintaining communication links between agents, addressing a critical challenge in real-world deployments. With over 120 total citations, Stergiopoulos’s research continues to shape the design of resilient, scalable multi-robot systems for environmental monitoring, surveillance, and autonomous exploration.

Research Focus

Key Achievements

6
H-Index
6
Papers
122
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Spatially distributed area coverage optimisation in mobile robotic networks with arbitrary convex anisotropic patterns
44 citations · 2012
📈 Most Prolific Year: 2016 (3 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Patras

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago