Semantic Maps and Beyond

Semantic maps are an emergent topic at the intersection of artificial intelligence and robotics. Among others, they provide an intuitive interface between symbolic and subsymbolic parts of a robots control architecture, as well as a framework to perform reasoning, human-robot interaction and (life-long) learning.

This project will investigate current developments in the field of semantic maps and will design new concepts to facilitate the learning of the maps' content, with the goal to provide a general framework that improves usefulness and reliability of our robots for a lot of different application domains.