Ontological concepts for information sharing in cloud robotics

  • Edison Pignaton de Freitas*
  • , Joanna Isabelle Olszewska
  • , Joel Luís Carbonera
  • , Sandro R. Fiorini
  • , Alaa Khamis
  • , S. Veera Ragavan
  • , Marcos E. Barreto
  • , Edson Prestes
  • , Maki K. Habib
  • , Signe Redfield
  • , Abdelghani Chibani
  • , Paulo Goncalves
  • , Julita Bermejo-Alonso
  • , Ricardo Sanz
  • , Elisa Tosello
  • , Alberto Olivares-Alarcos
  • , Andrea Aparecida Konzen
  • , João Quintas
  • , Howard Li
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Recent research and developments in cloud robotics (CR) require appropriate knowledge representation to ensure interoperable data, information, and knowledge sharing within cloud infrastructures. As an important branch of the Internet of Things (IoT), these demands to advance it forward motivates academic and industrial sectors to invest on it. The IEEE ’Ontologies for Robotics and Automation’ Working Group (ORA WG) has been developing standard ontologies for different robotic domains, including industrial and autonomous robots. The use of such robotic standards has the potential to benefit the Cloud Robotic Community (CRC) as well, supporting the provision of ubiquitous intelligent services by the CR-based systems. This paper explores this potential by developing an ontological approach for effective information sharing in cloud robotics scenarios. It presents an extension to the existing ontological standards to cater for the CR domain. The use of the new ontological elements is illustrated through its use in a couple of CR case studies. To the best of our knowledge, this is the first work ever that implements an ontology comprising concepts and axioms applicable to the CR domain.

Original languageEnglish
Pages (from-to)4921-4932
Number of pages12
JournalJournal of Ambient Intelligence and Humanized Computing
Volume14
Issue number5
DOIs
StatePublished - May 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020, Springer-Verlag GmbH Germany, part of Springer Nature.

Keywords

  • Automated collaboration
  • Autonomous robotics
  • Cloud robotics
  • Knowledge-based systems
  • Multi-agent systems
  • Robotics and automation
  • System interoperability

ASJC Scopus subject areas

  • General Computer Science

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