Interoperability in cloud robotics — Developing and matching knowledge information models for heterogenous multi-robot systems

Every file, document, database and digital information is now going through the Cloud. Leveraged by the developments in information systems, Cloud Robotics is evolving at a steady pace and raised attention in the past 5 years. This recent field of Robotics is allowing engineers to envisage new and e...

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Bibliographic Details
Published inIEEE RO-MAN pp. 1291 - 1296
Main Authors Quintas, Joao, Menezes, Paulo, Dias, Jorge
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2017
Subjects
Interoperability
Knowledge based systems
Multi-robot systems
Ontologies
Robot kinematics
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Summary:Every file, document, database and digital information is now going through the Cloud. Leveraged by the developments in information systems, Cloud Robotics is evolving at a steady pace and raised attention in the past 5 years. This recent field of Robotics is allowing engineers to envisage new and exciting applications for robots in the near future. This work proposes Cloud Robotics as a mean to integrate semantic reasoning in a multi-robot system, using self-created knowledge bases in each robot, in order to perform the coordination of complex task allocation. An auction-based coordination method and a knowledge matching algorithm were implemented to study this subject. The obtained results demonstrated that, the coordination of a large multi-robot system and the knowledge matching process can be computationally demanding, thus making them perfect candidate features to be "cloudyfied".
ISSN:1944-9437
DOI:10.1109/ROMAN.2017.8172471