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Internet of robotic things evolution, standards and data interoperability best practices for the next generation of artificial intelligence‐powered systems

datacite.subject.fosEngenharia e Tecnologia
dc.contributor.authorGyrard, Amelie
dc.contributor.authorFreitas, Edison Pignaton de
dc.contributor.authorSerrano, Martin
dc.contributor.authorLi, Howard
dc.contributor.authorGonçalves, Paulo
dc.contributor.authorQuintas, João
dc.contributor.authorVermesan, Ovidiu
dc.contributor.authorOlivares‐Alarcos, Alberto
dc.contributor.authorKung, Antonio
dc.contributor.authorCavallo, Filippo
dc.date.accessioned2025-12-10T12:34:14Z
dc.date.available2025-12-10T12:34:14Z
dc.date.issued2025
dc.description.abstractThe Internet of Robotic Things (IoRT) represents the rise of a new paradigm enabling robots to serve not only as autonomous units but also as intelligent interconnected entities that can interact, collaborate, and share information through the edge, cloud and other data networks. IoRT is a technological progress and the fusion of Robotics with the Internet of Things (IoT), artificial intelligence (AI), and edge‐Computing, IoRT can benefit from the next‐generation spatial web, Web 4.0 (the intelligent immersive knowledge Web), by enhancing data processing, situational awareness, and integration with immersive technologies, software‐defined automation (SDA), and spatial computing technologies. Semantic Web and Web 4.0 technologies are becoming common in robotics projects for exchanging data and enabling data set interoperability. The main challenge is to upgrade how robotic things interact with each other and their environment in a more situation‐aware fashion, enabling IoRT situation‐aware capabilities. This paper reviews the definition of IoRT considering the latest developments in sensor technology and data management systems and uses a novel survey methodology to find, classify, and reuse robotic expertise and present it to the community and engineering experts. The survey is shared through the LOV4IoT‐Robotics ontology catalog, which is available online. This catalog demonstrates how best practices for data sharing and data set interoperability are also used to extract robotic knowledge semi‐automatically. A set of relevant semantic‐enabled projects designed by domain experts that focused on extracting robotic knowledge was included.por
dc.description.sponsorshipThis study has partially received funding from the European Union'sHorizon 2020 research and innovation program under grant agree-ments: StandICT No. 101091933, and SPADE No. 101060778, and alsoby the European Union under the project ARISE (HORIZON‐CL4‐2023‐DIGITAL‐EMERGING‐01‐101135959), from the Conselho Nacio-nal de Desenvolvimento Científico e Tecnológico—Brasil (CNPq)Projects 309505/2020‐8 and 311773/2023‐0, and the ELLITT StrategicResearch Network—Sweden. The authors acknowledge Fundação paraa Ciência e a Tecnologia (FCT) for its financial support via the projectLAETA Base Funding (DOI: 10.54499/UIDB/50022/2020). The opinionsexpressed are those of the authors and do not reflect those of thesponsors
dc.identifier.citationGYRARD, A. [et al.] (2025) - Internet of robotic things evolution, standards and data interoperability best practices for the next generation of artificial intelligence-powered systems. Journal of Field Robotics. DOI: 10.1002/rob.70063.
dc.identifier.doi10.1002/rob.70063
dc.identifier.issn1556-4959
dc.identifier.urihttp://hdl.handle.net/10400.11/10395
dc.language.isoeng
dc.peerreviewedyes
dc.publisherWiley
dc.relation.hasversionhttps://onlinelibrary.wiley.com/doi/epdf/10.1002/rob.70063
dc.relation.ispartofJournal of Field Robotics
dc.rights.uriN/A
dc.subjectInternet of robotic things
dc.subjectSemantic ontology
dc.subjectInteroperability
dc.subjectStandards
dc.subjectOntology catalog
dc.subjectInternet of Things
dc.subjectReusability
dc.subjectSemantic web of things
dc.subjectWeb 4.0
dc.subjectSemantic web technologies
dc.subjectReusable knowledge
dc.titleInternet of robotic things evolution, standards and data interoperability best practices for the next generation of artificial intelligence‐powered systemseng
dc.typeresearch article
dspace.entity.typePublication
oaire.citation.titleJournal of Field Robotics
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aa
person.familyNameGonçalves
person.givenNamePaulo
person.identifier.ciencia-id2816-A2FA-C5A3
person.identifier.orcid0000-0002-8692-7338
person.identifier.ridE-5640-2012
person.identifier.scopus-author-id35853838000
relation.isAuthorOfPublication86a6a234-d690-4c2b-8bee-d58005eebba2
relation.isAuthorOfPublication.latestForDiscovery86a6a234-d690-4c2b-8bee-d58005eebba2

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