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Ontologies for cloud robotics

Part of: Ontologies and Standards for Intelligent Systems

Published online by Cambridge University Press:  02 June 2020

Edison Pignaton de Freitas ,
Julita Bermejo-Alonso Open the ORCID record for Julita Bermejo-Alonso [Opens in a new window] ,
Alaa Khamis ,
Howard Li  and
Joanna Isabelle Olszewska
Edison Pignaton de Freitas
Affiliation:
University Federal of Rio Grande do Sul, Brazil e-mail: epfreitas@inf.ufrgs.br
Julita Bermejo-Alonso
Affiliation:
Universidad Politécnica de Madrid, Spain e-mail: julia.bermejo@upm.es
Alaa Khamis
Affiliation:
General Motors, Canada e-mail: alaakhamis@gmail.com
Howard Li
Affiliation:
University of New Brunswick, Canada e-mail: howard@unb.ca
Joanna Isabelle Olszewska
Affiliation:
University of West of Scotland, UK e-mail: joanna.olszewska@ieee.org
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Abstract

Cloud robotics (CR) is currently a growing area in the robotic community. Indeed, the use of cloud computing to share data and resources of distributed robotic systems leads to the design and development of cloud robotic systems (CRS) which constitute useful technologies for a wide range of applications such as smart manufacturing, aid and rescue missions. However, in order to get coherent agent-to-cloud communications and efficient agent-to-agent collaboration within these CRS, there is a need to formalize the knowledge representation in CR. Hence, the use of ontologies provides a mean to define formal concepts and their relations in an interoperable way. This paper presents standard robotic ontologies and their extension in the CR domain as well as their possible implementations in the case of a real-world CR scenario.

Type
Research Article
Information
The Knowledge Engineering Review , Volume 35 , 2020 , e25
Copyright
© The Author(s), 2020. Published by Cambridge University Press

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