Papers

6

Total Citations

721

H-Index

5

About

Daniel Gurdan is a pioneering roboticist whose work has fundamentally advanced the design and autonomy of micro aerial and underwater vehicles. His core research focuses on creating robust, energy-efficient flying robots capable of operating in GPS-denied environments, with key contributions in high-frequency control, vision-based navigation, and swarm intelligence. Gurdan’s most influential work, the 2014 paper "Vision-Controlled Micro Flying Robots," has garnered 297 citations and details a complete system for autonomous navigation and mapping using microhelicopters. He also co-authored the seminal 2007 paper on an energy-efficient quadrotor controlled at 1 kHz (244 citations), which set a new standard for stability and maneuverability in small-scale flight. Beyond aerial systems, Gurdan developed AMOUR V, a hovering underwater robot capable of carrying dynamic payloads (71 citations). Notably, his team broke the micro air vehicle endurance record using laser power beaming, demonstrating innovative approaches to persistent flight. Through projects like the EU-funded SFly swarm initiative, Gurdan has helped lay the groundwork for coordinated, vision-guided robot teams in search, rescue, and surveillance missions.

Research Focus

Key Achievements

5
H-Index
6
Papers
721
Total Citations
120
Avg Citations/Paper
🏆 Most Cited Paper
Vision-Controlled Micro Flying Robots: From System Design to Autonomous Navigation and Mapping in GPS-Denied Environments
297 citations · 2014
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 32
🏛 Institutions: Technical University of Munich, Massachusetts Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago