  In this paper we propose a method to extract an abstracted floor plan from
typical grid maps using Bayesian reasoning. The result of this procedure is a
probabilistic generative model of the environment defined over abstract
concepts. It is well suited for higher-level reasoning and communication
purposes. We demonstrate the effectiveness of the approach through real-world
experiments.
