Ontological concepts for information sharing in cloud robotics

Edison Pignaton de Freitas*, Joanna Isabelle Olszewska, Joel Luis 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

    10 Citations (Scopus)
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    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
    Number of pages12
    JournalJournal of Ambient Intelligence and Humanized Computing
    DOIs
    Publication statusPublished - 10 Jun 2020

    Keywords

    • knowledge-based systems
    • system interoperability
    • automated collaboration
    • cloud robotics
    • multi-agent systems
    • autonomous robotics
    • robotics and automation

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