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

Autor: Vartholomaios, Panagiotis, Ramdani, Nacim, Christophorou, Christophoros, Georgiadis, Dimosthenis, Guilcher, Thomas, Blouin, Myriam, Rebiai, Mohamed, Panayides, Andreas S, Pattichis, Constantinos S., Sarafidis, Michail, Costarides, Vassilia, Vellidou, Eleftheria, Koutsouris, Dimitrios
Přispěvatelé: Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique (PRISME), Université d'Orléans (UO)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), University of Cyprus [Nicosia], National Technical University of Athens [Athens] (NTUA), Pattichis, Constantinos S. [0000-0003-1271-8151]
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: International Journal of Reliable and Quality E-Healthcare
International Journal of Reliable and Quality E-Healthcare, 2019, 8 (3), pp.47-59. ⟨10.4018/IJRQEH.2019070104⟩
ISSN: 2160-9551
DOI: 10.4018/IJRQEH.2019070104⟩
Popis: 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. 8 3 47 59
Databáze: OpenAIRE