Papers

91

Total Citations

1,842

H-Index

21

About

Holger Voos is a prominent researcher whose work spans autonomous robotics, unmanned aerial vehicles (UAVs), and intelligent navigation systems. He is perhaps best known for his pioneering contributions to quadrotor UAV control, with his 2009 paper on feedback-linearization for micro-UAV control accumulating over 317 citations and establishing foundational techniques still referenced in aerial robotics today. His earlier 2006 work on state-dependent Riccati equation control for quadrotors further cemented his role as an early innovator in this field. Beyond aerial robotics, Voos has made significant contributions to robot motion planning and navigation, developing real-time solutions for collision-free path planning and chance-constrained motion planning in dynamic environments, works that have collectively garnered nearly 200 citations. His more recent research has pushed into the frontier of Visual SLAM and situational awareness, addressing how mobile robots can deeply understand and reason about their environments — a challenge with profound implications for autonomous systems. His 2022 Visual SLAM survey has already attracted over 111 citations, reflecting the field's appetite for his synthesizing insights. With research touching industrial assembly robotics and UAV swarm coordination as well, Voos represents a versatile and enduring force in intelligent autonomous systems research.

Research Focus

Key Achievements

21
H-Index
91
Papers
1,842
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Nonlinear control of a quadrotor micro-UAV using feedback-linearization
317 citations · 2009
📈 Most Prolific Year: 2023 (9 Papers)
🤝 Key Collaborators: 96
🏛 Institutions: University of Applied Sciences Ravensburg-Weingarten, University of Luxembourg

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 42 days ago