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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Semantic Mapping with a Probabilistic Description Logic
verfasst von : Rodrigo Polastro, Fabiano Corrêa, Fabio Cozman, Jun Okamoto Jr.
Erschienen in: Advances in Artificial Intelligence – SBIA 2010
Verlag: Springer Berlin Heidelberg
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Semantic mapping employs explicit labels to deal with sensor data in robotic mapping processes. In this paper we present a method for boosting performance of spatial mapping, through the use of a probabilistic ontology, expressed with a probabilistic description logic. Reasoning with this ontology allows segmentation and tagging of sensor data acquired by a robot during navigation; hence a robot can construct metric maps topologically. We report experiments with a real robot to validate our approach, thus moving closer to the goal of integrating mapping and semantic labeling processes.