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About

Armin Hornung is a prominent robotics researcher specializing in 3D environment mapping, humanoid robot navigation, and autonomous mobile manipulation. He is best known as a principal developer of OctoMap, a highly influential probabilistic 3D mapping framework based on octrees, which has accumulated an remarkable 2,827 citations since its publication in 2013 and become a standard tool in the robotics community for efficient volumetric environment representation. Hornung's research has consistently tackled the challenge of enabling robots to perceive, model, and navigate complex three-dimensional environments. His work spans depth-camera-based real-time navigation, 3D cluttered environment traversal for mobile manipulation, and sophisticated footstep planning for humanoid robots. He has made notable contributions to humanoid autonomy, including systems capable of climbing spiral staircases, performing whole-body motion planning for object manipulation, and achieving reliable indoor localization using Monte Carlo methods combined with multi-sensor fusion. A recurring theme across his publications is bridging the gap between computational efficiency and real-world robustness — developing planning and perception algorithms that function reliably on physical platforms with onboard sensing. His work has had substantial influence on both academic research and practical robotics applications, making him a significant contributor to the field of autonomous robot navigation and 3D spatial reasoning.