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Ontological concepts for information sharing in cloud robotics

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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.

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Notes

  1. https://standards.ieee.org/develop/project/1872.2.html

  2. http://www.sensorml.com/

  3. https://www.w3.org/2005/Incubator/ssn/ssnx/ssn

  4. http://www.adampease.org/OP/

  5. The OWL file with the complete ontology can be found at https://drive.google.com/file/d/1Jx-KYa_1hbYitYmEo4Lu7tV29qOKXHmU/view?usp=sharing

  6. The complete implementation of the knowledge base and the case studies can be found at https://github.com/CloudRobotics-TAMP/RTASK-KB.git

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Acknowledgements

This work was partly supported by Innovate UK; CNPq and CAPES in Brazil; FRGS/1/2015/TK08/MUSM/02/1 in Malaysia.

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Authors and Affiliations

  1. Federal University of Rio Grande do Sul, Porto Alegre, Brazil

    Edison Pignaton de Freitas, Joel Luís Carbonera, Edson Prestes & Andrea Aparecida Konzen

  2. University of West of Scotland, Glasgow, UK

    Joanna Isabelle Olszewska

  3. General Motors, Oshawa, Canada

    Alaa Khamis

  4. Monash University, Subang Jaya, Malaysia

    S. Veera Ragavan

  5. Federal University of Bahia, Salvador, Brazil

    Marcos E. Barreto

  6. The American University in Cairo, Cairo, Egypt

    Maki K. Habib

  7. US Naval Research Laboratory, Washington, USA

    Signe Redfield

  8. Université Paris-Est Créteil, Paris, France

    Sandro R. Fiorini & Abdelghani Chibani

  9. Instituto Politécnico de Castelo Branco, Castelo Branco, Portugal

    Paulo Goncalves

  10. Universidad Politécnica de Madrid, Madrid, Spain

    Julita Bermejo-Alonso & Ricardo Sanz

  11. University of Padova, Padova, Italy

    Elisa Tosello

  12. Institut de Robotica i Informatica Industrial, Barcelona, Spain

    Alberto Olivares-Alarcos

  13. Instituto Pedro Nunes, Coimbra, Portugal

    João Quintas

  14. University of New Brunswick, Fredericton, Canada

    Howard Li

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  1. Edison Pignaton de Freitas
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Correspondence to Edison Pignaton de Freitas.

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Pignaton de Freitas, E., Olszewska, J.I., Carbonera, J.L. et al. Ontological concepts for information sharing in cloud robotics. J Ambient Intell Human Comput 14, 4921–4932 (2023). https://doi.org/10.1007/s12652-020-02150-4

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