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
Top Papers
- 1Nonlinear control of a quadrotor micro-UAV using feedback-linearization317 citations · 2009
- 2Visual SLAM: What Are the Current Trends and What to Expect?111 citations · 2022
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- 5Nonlinear state-dependent Riccati equation control of a quadrotor UAV83 citations · 2006
- 6Position Identification in Force-Guided Robotic Peg-in-Hole Assembly Tasks77 citations · 2014
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- 8From SLAM to Situational Awareness: Challenges and Survey60 citations · 2023
- 9Situational Graphs for Robot Navigation in Structured Indoor Environments53 citations · 2022
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