Papers

2

Total Citations

62

H-Index

2

About

Selcuk Bayraktar is a pioneering researcher in the field of multi-robot systems, with a specific focus on the collaborative autonomy of aerial and ground vehicles. His foundational work established the theoretical and practical frameworks for air-ground robot teams, particularly in active feature search and localization. In his highly cited 2004 paper, Bayraktar introduced a decentralized architecture for teams of Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) to autonomously search for and localize ground features. This work, which has garnered 28 citations, provided a rigorous theoretical framework for sensor fusion and coordinated exploration. His subsequent 2006 paper, with 34 citations, further explored the synergies in feature localization between these heterogeneous robot teams. Bayraktar’s contributions are critical to the development of robust, scalable multi-agent systems, enabling applications in search and rescue, environmental monitoring, and surveillance. His research remains a cornerstone for engineers and scientists working on cooperative robotics, demonstrating how the complementary strengths of UAVs and UGVs can be harnessed for complex, real-world missions.

Research Focus

Key Achievements

2
H-Index
2
Papers
62
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Synergies in Feature Localization by Air-Ground Robot Teams
34 citations · 2006
📈 Most Prolific Year: 2006 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: California University of Pennsylvania, University of Pennsylvania

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago