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ENDORSE Concept: An Integrated Indoor Mobile Robotic System for Medical Diagnostic Support

Author

Listed:
  • Panagiotis Vartholomaios

    (SingularLogic S.A., Dionisos, Greece)

  • Nacim Ramdani

    (Université d'Orléans, PRISME, Bourges, France)

  • Christophoros Christophorou

    (CITARD, Nicosia, Cyprus)

  • Dimosthenis Georgiadis

    (CITARD, Tseri, Cyprus)

  • Thomas Guilcher

    (StreamVision, Paris, France)

  • Myriam Blouin

    (StreamVision, Paris, France)

  • Mohamed Rebiai

    (StreamVision, Paris, France)

  • Andreas S. Panayides

    (University of Cyprus, Nicosia, Cyprus)

  • Constantinos S. Pattichis

    (Department of Computer Science, University of Cyprus, Nicosia, Cyprus)

  • Michail Sarafidis

    (Institute of Communication and Computer Systems (ICCS), Zografou, Greece)

  • Vassilia Costarides

    (Institute of Communication and Computer Systems (ICCS), Zografou, Greece)

  • Eleftheria Vellidou

    (Institute of Communication and Computer Systems (ICCS), Zografou, Greece)

  • Dimitrios Koutsouris

    (Institute of Communication and Computer Systems (ICCS), Zografou, Greece)

Abstract

Hospitals are considered a field of logistic robotics of high commercial potential and therefore a handful of mobile robot solutions exist. However, they have failed to trigger widespread acceptance by the market. The ENDORSE system will pursue 4 innovation pillars: an infrastructure-less multi-robot navigation, i.e. minimum installation of sensors and communications buses inside the building for the localization of robots, targets and docking stations; advanced HRI for resolving deadlocks and achieving efficient sharing of space resources in crowded environments; the deployment of ENDORSE software as a cloud-based service facilitating its integration with corporate software solutions such as ERP and CRM, complying with GDPR data security requirements; and allowing for reconfigurable and modular hardware architectures so that diverse modules can be easily swapped. ENDORSE functionality will be demonstrated via the integration of an e-diagnostic support module for vital signs monitoring, facilitating connectivity to cloud-based EHR, and validated in an operational hospital environment for realistic assessment.

Suggested Citation

  • Panagiotis Vartholomaios & Nacim Ramdani & Christophoros Christophorou & Dimosthenis Georgiadis & Thomas Guilcher & Myriam Blouin & Mohamed Rebiai & Andreas S. Panayides & Constantinos S. Pattichis & , 2019. "ENDORSE Concept: An Integrated Indoor Mobile Robotic System for Medical Diagnostic Support," International Journal of Reliable and Quality E-Healthcare (IJRQEH), IGI Global, vol. 8(3), pages 47-59, July.
    • Handle: RePEc:igg:jrqeh0:v:8:y:2019:i:3:p:47-59
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