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

Project description

Helping heavy mobile equipment light the way

Europe’s construction, logistics and agriculture sectors face multiple challenges related to increasing productivity and boosting efficiency. In response, the EU-funded MORE project has brought together five heavy duty mobile (HDM) equipment companies (J. Deere, Liebherr, Bosch Rexroth, HIAB, Volvo CE) and four highly specialised academic groups. As the first ever European Industrial Doctorate (EID) research and training programme, it will address this need and fill the gap in related research and training. The project will equip eight early stage researchers with a set of research skills including robotics, machine learning, energy systems, as well as transferable skills such as entrepreneurship and career management. It will deliver innovative solutions resulting from digitalisation and artificial intelligence.

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.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-ITN-2019

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Coordinator

TAMPEREEN KORKEAKOULUSAATIO SR
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 374 407,68
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 374 407,68

Participants (7)

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