Nico Huebel — accepted AI-conference papers

2019

Semantic mapping extension for OpenStreetMap applied to indoor robot navigation

Lakshadeep Naik, Sebastian Blumenthal, Nico Huebel, Herman Bruyninckx, Erwin Prassler

ICRA 2019poster

In this work a graph-based, semantic mapping approach for indoor robotics applications is presented, which is extending OpenStreetMap (OSM) with robotic-specific, semantic, topological, and geometrical information. Models are introduced for basic indoor structures such as walls, doors, corridors, el…

Cited by 41 Source ↗Scholar ↗

2018

A Workbench for Quantitative Comparison of Databases in Multi-Robot Applications

Rubanraj Ravichandran, Erwin Prassler, Nico Huebel, Sebastian Blumenthal

IROS 2018poster

Robots generate large amounts of data which need to be stored in a meaningful way such that they can be used and interpreted later. Such data can be written into log files, but these files lack the querying features and scaling capabilities of modern databases - especially when dealing with multi-ro…

Cited by 12 Source ↗Scholar ↗