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.

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

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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