Publication
A review and comparison of ontology-based approaches to robot autonomy
Journal Article (2019)
Journal
The Knowledge Engineering Review
Pages
e29
Volume
34
Doc link
https://doi.org/10.1017/S0269888919000237
File
Authors
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Olivares Alarcos, Alberto
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Beßler, Daniel
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Khamis, Alaa
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Goncalves, Paulo
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Habib, Maki K.
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Bermejo-Alonso, Julita
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Barreto, Marcos
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Diab, Mohammed
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Rosell, Jan
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Quintas, João
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Olszewska, Joanna
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Nakawala, Hirenkumar
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Pignaton, Edison
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Gyrard, Amelie
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Borgo, Stefano
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Alenyà Ribas, Guillem
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Beetz, Michael
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Li, Howard
Projects associated
Abstract
Within the next decades, robots will need to be able to execute a large variety of tasks autonomously in a large variety of environments. To relax the resulting programming effort, a knowledge-enabled approach to robot programming can be adopted to organize information in re-usable knowledge pieces. However, for the ease of reuse, there needs to be an agreement on the meaning of terms. A common approach is to represent these terms using ontology languages that conceptualize the respective domain. In this work, we will review projects that use ontologies to support robot autonomy. We will systematically search for projects that fulfill a set of inclusion criteria and compare them with each other with respect to the scope of their ontology, what types of cognitive capabilities are supported by the use of ontologies, and which is their application domain.
Categories
intelligent robots.
Author keywords
knowledge representation, robotics and automation, ontologies, review
Scientific reference
A. Olivares-Alarcos, D. Beßler, A. Khamis, P. Goncalves, M.K. Habib, J. Bermejo-Alonso, M. Barreto, M. Diab, J. Rosell, J. Quintas, J. Olszewska, H. Nakawala, E. Pignaton, A. Gyrard, S. Borgo, G. Alenyà, M. Beetz and H. Li. A review and comparison of ontology-based approaches to robot autonomy. The Knowledge Engineering Review, 34: e29, 2019.
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