ICRA 2012 Paper Abstract


Paper TuA06.6

Sgorbissa, Antonio (University of Genova), Scalmato, Antonello (University Of Genoa), Zaccaria, Renato (University of Genova)

Describing and Classifying Spatial and Temporal Contexts with OWL DL in Ubiquitous Robotics

Scheduled for presentation during the Regular Session "Applied Machine Learning" (TuA06), Tuesday, May 15, 2012, 09:45−10:00, Meeting Room 6 (Oya'te)

2012 IEEE International Conference on Robotics and Automation, May 14-18, 2012, RiverCentre, Saint Paul, Minnesota, USA

This information is tentative and subject to change. Compiled on August 21, 2018

Keywords Domotics and Home Automation, AI Reasoning Methods, Sensor Fusion


The article describes a system for describing and recognizing spatial and temporal patterns of events. The system is based on an ontology described through the Description Logics formalism and implemented in OWL DL. The approach is different from all other works in the literature since the system does not require an external reasoning engine, but relies only on the base mechanism for ontology classification. Experiments performed in two different scenarios are described, i.e., a Smart Home and a mobile robot for autonomous transportation operating within a partially automated building.



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