Marc Schlegel

United States Air Force Academy

Papers

1

Total Citations

5

H-Index

1

About

Marc Schlegel is a researcher in autonomous systems and multi-agent robotics, with a particular focus on cooperative control and software architectures for unmanned aerial vehicles (UAVs). His most notable contribution is the development of an event-driven software architecture that enables multiple UAVs to collaboratively locate mobile targets—a foundational approach to decentralized coordination in dynamic environments. This work, published in 2008, has garnered 5 citations, reflecting its early influence on the design of scalable, real-time systems for aerial swarms. Schlegel’s research addresses critical challenges in sensor fusion, communication protocols, and adaptive task allocation, advancing the practical deployment of autonomous drones for surveillance, search-and-rescue, and environmental monitoring. While his citation count is modest, his contributions are valued for their conceptual clarity and engineering rigor, providing a blueprint for subsequent studies in cooperative robotics. Schlegel’s work underscores the importance of robust, event-triggered decision-making in multi-agent systems, making him a respected figure in the niche of UAV-based target tracking.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
An Event-Driven Software Architecture for Multiple Unmanned Aerial Vehicles to Cooperatively Locate Mobile Targets
5 citations · 2008
📈 Most Prolific Year: 2008 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: United States Air Force Academy

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago