Locations

Munich

Our teams in Munich aim to provide businesses of all sizes the ability to unlock the power of their own data through AI and automation.

We focus on cloud robotics, simultaneous localization and mapping, spatial and object intelligence, and manipulation. We collaborate closely with top academic research institutions within Germany as well as engage with a thriving start-up community in the areas of robotics and automation.

Learn more about our efforts in AI, robotics and automation solutions.

Some of our publications

Cloud-based Mapping and Localization in Dynamic Warehouse Environments

Reliable, life-long mapping and localization is an essential component for mobile robotics in continuously changing warehouse environments. We present a system based on Cartographer in which robots run finite-history SLAM for low-latency localization and continuously stream local map updates to a cloud service. The cloud component assembles and optimizes a globally consistent pose graph out of...

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Cloud-based Mapping and Localization in Dynamic Warehouse Environments

Michael Grupp, Andre Gaschler, Mirko Ferrati, Christoph Schütte, Moritz Tenorth

ROSCon 2018, Madrid, Spain (2018)

3D Scene Understanding

Augmented Reality aims at seamlessly blending virtual content into the real world. In this talk, I will showcase our recent work on 3D scene understanding. In particular, I will cover semantic segmentation and scan completion.

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3D Scene Understanding

Jürgen Sturm, Martin Bokeloh

(2018)

ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans

We introduce ScanComplete, a novel data-driven approach for taking an incomplete 3D scan of a scene as input and predicting a complete 3D model along with per-voxel semantic labels. The key contribution of our method is its ability to handle large scenes with varying spatial extent, managing the cubic growth in data size as scene size increases. To this end, we devise a fully-convolutional...

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ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans

Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Jürgen Sturm, Matthias Nießner

Proc. Computer Vision and Pattern Recognition (CVPR), IEEE (2018)

Publication database

Some of our people

Juergen Sturm

Christoph Schütte

Andre Gaschler

Stefan Hinterstoisser

We believe open collaboration is essential for progress

We’re proud to work with academic and research institutions to push the boundaries of AI and computer science. Learn more about our student and faculty programs, as well as our global outreach initiatives.

See outreach programs