Opendata, web and dolomites

MORE SIGNED

Educating Europe`s Future Engineers in Next Generation Heavy Duty Mobile Machinery: Artificial Intelligence driven Robotisation, Energy Efficiency and Process Optimisation

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 MORE project word cloud

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

labour    picture    global    intelligence    pressure    avoidance    stage    digitalisation    flow    heavy    booms    ai    moving    transferable    innovative    dramatic    experts    logistics    big    entrepreneurship    joined    hdm    agriculture    industry    machinery    doctorate    transfer    delivering    answer    serious    regulations    demand    heavily    equipped    forces    machine    specialised    autonomy    boom    combining    vision    continuous    career    obstacle    skills    mobile    green    deere    invest    groups    object    emissions    machines    world    volvo    improvements    shortage    globalisation    fill    academic    europe    classification    interaction    sectors    duty    eid    train    gap    adverse    food    technologies    optimising    energy    workhorses    urgent    efficiency    first    construction    productivity    power    robotics    liebherr    learning    industrial    training    digitalization    ce    material    solutions    bosch    sites    companies    put    earth    efficient    ever    reduce    rexroth    stricter    immense    hiab    artificial    eight   

Project "MORE" data sheet

The following table provides information about the project.

Coordinator
TAMPEREEN KORKEAKOULUSAATIO SR 

Organization address
address: KALEVANTIE 4
city: TAMPERE
postcode: 33100
website: n.a.

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 Finland [FI]
 Total cost 2˙175˙712 €
 EC max contribution 2˙175˙712 € (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-EID
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2023-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TAMPEREEN KORKEAKOULUSAATIO SR FI (TAMPERE) coordinator 358˙807.00
2    BOSCH REXROTH AG DE (LOHR) participant 379˙182.00
3    HIAB AB SE (KISTA) participant 344˙645.00
4    NOVATRON OY FI (TAMPERE) participant 327˙606.00
5    OREBRO UNIVERSITY SE (OREBRO) participant 234˙985.00
6    LIEBHERR-WERK BISCHOFSHOFEN GMBH AT (BISCHOFSHOFEN) participant 198˙155.00
7    KARLSRUHER INSTITUT FUER TECHNOLOGIE DE (KARLSRUHE) participant 168˙525.00
8    JOHN DEERE FORESTRY OY FI (TAMPERE) participant 163˙803.00

Map

 Project objective

Ever-increasing demand for material and food, stricter emissions regulations, and continuous globalisation has put Europe’s construction, logistics, and agriculture sectors under immense pressure. Dramatic improvements in their productivity and efficiency are the only answer to these global challenges. Heavy-duty mobile (HDM) machinery are crucial workhorses in these sectors. Europe`s major HDM equipment companies (J. Deere, Liebherr, Bosch Rexroth, HIAB, Volvo CE) have joined forces with four highly specialised academic groups to deliver MORE, a timely project in response to these urgent needs.

MORE will address these challenges by delivering innovative solutions driven by digitalisation and Artificial Intelligence (AI) in three areas: 1) Processes: world modelling by combining machine-earth interaction with vision, and optimising material flow in construction sites, 2) Machines: creating efficient power-train solutions for heavy-duty booms and 3) Control: object classification and world modelling to support long-term autonomy; obstacle avoidance in adverse conditions; innovative solutions on transfer-learning for earth moving and boom control to reduce operational and development costs, in different application areas.

Europe’s HDM machine industry needs to invest heavily in digitalization, ‘green’ and innovative technologies, and address the serious labour shortage. There is thus a rapidly growing demand for experts in HDM machinery having the big picture of trends in AI, robotics, and energy systems as well as an understanding of the challenges and opportunities.

MORE is an innovative European Industrial Doctorate (EID) research and training programme, the first of its kind, that will address this need and fill the gap in related research and training. Eight early stage researchers will be equipped with a set of research skills including robotics, machine learning, energy systems, as well as transferable skills such as entrepreneurship and career management.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "MORE" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.1.)

Shape-IT (2019)

Supporting the interaction of Humans and Automated vehicles: Preparing for the EnvIronment of Tomorrow

Read More  

ORBITAL (2019)

Ocular Research By Integrated Training And Learning

Read More  

DISTINCT (2019)

Dementia: Intersectorial Strategy for Training and Innovation Network for Current Technology (DISTINCT)

Read More