Cloud Robotics in FIWARE: A Proof of Concept

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Hybrid Artificial Intelligent Systems (HAIS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9121))

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Abstract

Novel Cloud infrastructures and their extensive set of resources have potential to help robotics to overcome its limitations. Traditionally, those limitations have been related with the number of sensors that are equipped in the robots and their computational power. The drawbacks of these limitations can be reduced by using the benefits of cloud architectures such as cloud computing, Internet of Things (IoT) sensing and cloud storage. FIWARE is an open platform which integrates cloud capabilities and Generics Enablers (GE) to interact with the cloud. This paper proposes the development of a Robotics GE and it presents the integration of the new GE into the FIWARE architecture. Two are the main goals behind this integration, first to bring all the benefits that FIWARE provides to robotics, and second to facilitate the development of robotics applications to non-expert robotics developers. Finally, a real example of the integration is shown by means of a parking meter application that combines context information, robotics, and cloud computing of vision algorithms.

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Acknowledgment

This work is being partially supported by the EU co-funded IST projects FI-WARE: Future Internet Core Platform (GA 285248) and FI-CORE: Future Internet - Core (GA 632893), as part of the European Commissions Future Internet Public-Private Partnership (FI-PPP) initiative.

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Correspondence to F. Herranz .

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Herranz, F., Jaime, J., González, I., Hernández, Á. (2015). Cloud Robotics in FIWARE: A Proof of Concept. In: Onieva, E., Santos, I., Osaba, E., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2015. Lecture Notes in Computer Science(), vol 9121. Springer, Cham. https://doi.org/10.1007/978-3-319-19644-2_48

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  • DOI: https://doi.org/10.1007/978-3-319-19644-2_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19643-5

  • Online ISBN: 978-3-319-19644-2

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