Ontologies for cloud robotics

Edison Pignaton de Freitas, Julita Bermejo-Alonso, Alaa Khamis, Howard Li, Joanna Isabelle Olszewska

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)
112 Downloads (Pure)


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.

Original languageEnglish
Article numbere25
Pages (from-to)1-17
Number of pages17
JournalKnowledge Engineering Review
Publication statusPublished - 2 Jun 2020


  • cloud robotics
  • robotic systems


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