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2020 Volume 35
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RESEARCH ARTICLE   Open Access    

Ontologies for cloud robotics

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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.
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  • Cite this article

    Edison Pignaton de Freitas, Julita Bermejo-Alonso, Alaa Khamis, Howard Li, Joanna Isabelle Olszewska. 2020. Ontologies for cloud robotics. The Knowledge Engineering Review 35(1), doi: 10.1017/S0269888920000338
    Edison Pignaton de Freitas, Julita Bermejo-Alonso, Alaa Khamis, Howard Li, Joanna Isabelle Olszewska. 2020. Ontologies for cloud robotics. The Knowledge Engineering Review 35(1), doi: 10.1017/S0269888920000338
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RESEARCH ARTICLE   Open Access    

Ontologies for cloud robotics

  • Received: 02 September 2019
  • Revised: 04 May 2020
  • Accepted: 04 May 2020
  • Published online: 02 June 2020
The Knowledge Engineering Review  35,  2020, 35(1)  |  Cite this article

Abstract: 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.

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    Edison Pignaton de Freitas, Julita Bermejo-Alonso, Alaa Khamis, Howard Li, Joanna Isabelle Olszewska. 2020. Ontologies for cloud robotics. The Knowledge Engineering Review 35(1), doi: 10.1017/S0269888920000338
    Edison Pignaton de Freitas, Julita Bermejo-Alonso, Alaa Khamis, Howard Li, Joanna Isabelle Olszewska. 2020. Ontologies for cloud robotics. The Knowledge Engineering Review 35(1), doi: 10.1017/S0269888920000338
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