Papers

1

Total Citations

9

H-Index

1

About

Jonas Fertsch is a researcher focused on enhancing the safety and reliability of autonomous aerial systems, particularly multirotor drones. His work centers on fault detection and redundant flight control architectures, addressing critical challenges in the deployment of unmanned aerial vehicles (UAVs) for industrial and commercial applications. His most-cited paper, "Fault detection for autonomous multirotors using a redundant flight control architecture" (2020, 9 citations), proposes a novel approach to detect and mitigate propulsion system failures—such as power shutdowns or emergency stops—that could otherwise lead to catastrophic crashes. By integrating redundancy into flight control systems, Fertsch’s research contributes to making UAVs more robust for tasks like last-mile parcel delivery, where operational continuity is essential. Though his citation count is still growing, his work represents a foundational step toward certifying autonomous drones for real-world logistics, highlighting his commitment to bridging the gap between experimental robotics and practical, fail-safe deployment.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Fault detection for autonomous multirotors using a redundant flight control architecture
9 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Friedrich-Alexander-Universität Erlangen-Nürnberg

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago