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

Panagiotis Vartholomaios, Nacim Ramdani, Christophoros Christophorou, Dimosthenis Georgiadis, Thomas Guilcher, Myriam Blouin, Mohamed Rebiai, Andreas S. Panayides, Constantinos S. Pattichis, Michail Sarafidis, Vassilia Costarides, Eleftheria Vellidou and Dimitrios Koutsouris
Additional contact information
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

International Journal of Reliable and Quality E-Healthcare (IJRQEH), 2019, vol. 8, issue 3, 47-59

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.

Date: 2019
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