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ENDORSE SIGNED

Safe, Efficient and Integrated Indoor Robotic Fleet for Logistic Applications in Healthcare and Commercial Spaces

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 ENDORSE project word cloud

Explore the words cloud of the ENDORSE project. It provides you a very rough idea of what is the project "ENDORSE" about.

structure    minimum    diverse    ehr    equipped    swapped    transfer    building    integrate    traceability    pillars    industry    endorse    module    deployment    mapping    stringent    peripheral    academia    serve    mobile    docking    cloud    resolving    efficient    aforementioned    innovation    station    modules    multidisciplinary    inside    offices    indoor    service    business    hospitals    invasive    hurdles    diagnostic    codes    acceptance    crowded    trigger    pursued    sensors    integration    electronic    demonstrated    validated    commercial    arrays    goods    robots    navigation    communications    deadlocks    limited    modular    hotels    easily    robot    software    automate    crm    installation    cross    buses    localization    law    interfacing    erp    few    advantages    space    exhibits    hri    single    hardware    latter    robotics    costly    corporate    health    reconfigurable    stations    operation    despite    infrastructure    sharing    normal    architectures    exist    records    rightfully    solutions    market    fertilization    spaces    meet    logistic   

Project "ENDORSE" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITE D'ORLEANS 

Organization address
address: CHATEAU DE LA SOURCE
city: ORLEANS CEDEX 2
postcode: 45067
website: http://nanoma.zenon.gr/

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Total cost 1˙122˙400 €
 EC max contribution 1˙122˙400 € (100%)
 Programme 1. H2020-EU.1.3.3. (Stimulating innovation by means of cross-fertilisation of knowledge)
 Code Call H2020-MSCA-RISE-2018
 Funding Scheme MSCA-RISE
 Starting year 2018
 Duration (year-month-day) from 2018-10-01   to  2021-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITE D'ORLEANS FR (ORLEANS CEDEX 2) coordinator 110˙400.00
2    CITARD SERVICES LTD CY (STROVOLOS) participant 220˙800.00
3    INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS EL (ATHINA) participant 220˙800.00
4    STREAM VISION FR (PARIS) participant 193˙200.00
5    SINGULARLOGIC ANONYMI ETAIREIA PLIROFORIAKON SYSTIMATON KAI EFARMOGON PLIROFORIKIS EL (NEA KIFISIA) participant 165˙600.00
6    UNIVERSITY OF CYPRUS CY (NICOSIA) participant 110˙400.00
7    UNIVERSITAT POLITECNICA DE VALENCIA ES (VALENCIA) participant 55˙200.00
8    ROBOTNIK AUTOMATION SLL ES (PATERNA) participant 46˙000.00

Map

Leaflet | Map data © OpenStreetMap contributors, CC-BY-SA, Imagery © Mapbox

 Project objective

Commercial indoor spaces such as hospitals, hotels, offices offer great potential for commercial exploitation of logistic robotics. Also, offer advantages for their deployment, since they are required by law to meet stringent building codes, and therefore the navigation space exhibits some structure. In addition, they offer reliable communications infrastructure, since this is required for normal business operation. Thus, commercial spaces are rightfully considered the next great field of logistic robotics deployment. Despite these advantages, today, few solutions exist, and these solutions do not trigger widespread acceptance by the market. This is because existing systems require costly infrastructure installation (arrays of peripheral sensors, mapping, etc.); they do not easily integrate to corporate IT solutions and as a result, they do not fully automate procedures and traceability; they are limited to a single type of service, i.e. transfer of goods. Through transfer of knowledge, multidisciplinary research and cross-fertilization between academia and industry, ENDORSE will address the aforementioned technical hurdles. Four innovation pillars will be pursued: (i) infrastructure-less multi-robot navigation, i.e. minimum (if any) installation of sensors and communications buses inside the building for the localization of robots, targets and docking stations; (ii) advanced HRI for resolving deadlocks and achieving efficient sharing of space resources in crowded spaces; (iii) deployment of the ENDORSE software as a cloud-based service facilitating its integration with corporate software solutions such as ERP, CRM, etc.; (iv) reconfigurable and modular hardware architectures so that diverse modules can be easily swapped. The latter will be demonstrated and validated by the integration of an e-diagnostic support module (equipped with non-invasive sensors/devices) and the Electronic Health Records (EHR) interfacing, which will serve as an e-diagnostic mobile station

 Publications

year authors and title journal last update
List of publications.
2019 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, Dimitrios Koutsouris
ENDORSE Concept
published pages: 47-59, ISSN: 2160-9551, DOI: 10.4018/ijrqeh.2019070104
International Journal of Reliable and Quality E-Healthcare 8 10 2019-11-07

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The information about "ENDORSE" are provided by the European Opendata Portal: CORDIS opendata.

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