Opendata, web and dolomites

GRAPES SIGNED

learninG, pRocessing, And oPtimising shapES

Total Cost €

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EC-Contrib. €

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Partnership

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 GRAPES project word cloud

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

innovation    smes    deep    implementations    follow    3d    industry    participation    tools    optimisation    marine    prototype    optimising    solved    forming    respective    libraries    horizontally    mining    associate    bridge    source    spectrum    planning    engineers    numerical    changing    beneficiary    generating    learning    fabrication    concerning    either    relies    multidisciplinary    datasets    indispensable    geometry    gap    candidates    life    mathematical    instrumental    shapes    theoretical    everyday    software    scientific    underlying    aided    workshops    computational    shape    mathematics    secondments    domains    despite    lags    leaders    transfer    machine    grapes    urgently    visualisation    2d    phd    15    hydrodynamics    generation    esr    network    printing    notch    science    benchmark    manufacturing    hosting    simulation    nexus    commercial    cad    considerably    data    reconstruction    driving    disciplines    active    multisectoral    urban    computer    span    principles    autonomous    young    automation    advancing    scientists    track    multimedia    game    algorithm    intersectoral    severely    gain    retrieval    training    geometric   

Project "GRAPES" data sheet

The following table provides information about the project.

Coordinator
ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS 

Organization address
address: ARTEMIDOS 6 KAI EPIDAVROU
city: MAROUSSI
postcode: 151 25
website: www.athena-innovation.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 Greece [EL]
 Total cost 3˙972˙761 €
 EC max contribution 3˙972˙761 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2019
 Funding Scheme MSCA-ITN-ETN
 Starting year 2019
 Duration (year-month-day) from 2019-12-01   to  2023-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS EL (MAROUSSI) coordinator 486˙035.00
2    UNIVERSITA DELLA SVIZZERA ITALIANA CH (LUGANO) participant 562˙553.00
3    INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE FR (LE CHESNAY CEDEX) participant 549˙604.00
4    UNIVERSITAT DE BARCELONA ES (BARCELONA) participant 501˙809.00
5    UNIVERSITY OF STRATHCLYDE UK (GLASGOW) participant 303˙172.00
6    SINTEF AS NO (TRONDHEIM) participant 292˙342.00
7    GEOMETRY FACTORY SARL FR (GRASSE) participant 274˙802.00
8    UNIVERSITAT LINZ AT (LINZ) participant 264˙207.00
9    UNIVERSITA DEGLI STUDI DI ROMA TOR VERGATA IT (ROMA) participant 261˙499.00
10    RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN DE (AACHEN) participant 252˙788.00
11    VILNIAUS UNIVERSITETAS LT (VILNIUS) participant 223˙947.00

Map

 Project objective

GRAPES aims at considerably advancing the state of the art in Mathematics, Computer-Aided Design, and Machine Learning in order to promote game changing approaches for generating, optimising, and learning 3D shapes, along with a multisectoral training for young researchers. Recent advances in the above domains have solved numerous tasks concerning multimedia and 2D data. However, automation of 3D geometry processing and analysis lags severely behind, despite their importance in science, technology and everyday life, and the well-understood underlying mathematical principles. The CAD industry, although well established for more than 20 years, urgently requires advanced methods and tools for addressing new challenges.

The scientific goal of GRAPES is to bridge this gap based on a multidisciplinary consortium composed of leaders in their respective fields. Top-notch research is also instrumental in forming the new generation of European scientists and engineers. Their disciplines span the spectrum from Computational Mathematics, Numerical Analysis, and Algorithm Design, up to Geometric Modelling, Shape Optimisation, and Deep Learning. This allows the 15 PhD candidates to follow either a theoretical or an applied track and to gain knowledge from both research and innovation through a nexus of intersectoral secondments and Network-wide workshops.

Horizontally, our results lead to open-source, prototype implementations, software integrated into commercial libraries as well as open benchmark datasets. These are indispensable for dissemination and training but also to promote innovation and technology transfer. Innovation relies on the active participation of SMEs, either as a beneficiary hosting an ESR or as associate partners hosting secondments. Concrete applications include simulation and fabrication, hydrodynamics and marine design, manufacturing and 3D printing, retrieval and mining, reconstruction and visualisation, urban planning and autonomous driving.

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

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