Project description
Training for tomorrow’s 5G wireless automated industry
The integration of the Internet of Things and cyber-physical systems into the industrial sector helps to automate the entire process of production and increase productivity. A wirelessly connected factory with mobile robots can easily allow the reconfiguration of assembly lines and the migration of embedded control functions, in addition to boasting flexibility of edge clouds. Moreover, the integrated billing and tracking capabilities of 5G empower innovative models. However, merging 5G networks and i4.0 may be a challenge for the wireless connected industry. The EU-funded 5GSmartFact project will train young researchers in analysing, designing and developing the implementation of 5G networks that target the i4.0 requirements, exploit them and integrate existing robot applications.
Objective
The transition into the 4th industrial revolution promises to integrate IoT and cyber-physical systems into the industrial domain and to boost the productivity of industrial verticals thanks to a radical automation of all the phases of production. Communications are key to enable i4.0 but are subject to the stringent requirements of automated applications in terms of availability, reliability, low latency, integrity, scalability, safety and positioning accuracy. A wirelessly connected factory enables novel mobile robots, easy reconfiguration of assembly lines and migration of embedded control functions to the virtually infinite computational/cache resources and flexibility of edge clouds. From a managerial perspective, integrated billing and tracking capabilities of 5G facilitate novel models such as that can drive a business disruption. As a result, the i4.0 ecosystem is an opportunity for the wireless community and has become one of the key targets of 5G. From a technical side, the development of wireless i4.0 entails a paradigm shift from reactive and centralized networks towards massive, ultra-reliable and proactive networks that may operate in wide remote scenarios, with thousands of devices, uncertainty, high dynamics, rare events, unpredictable interference and harsh conditions. Merging 5G networks and i4.0 comes with its own difficulties, because these two domains have been disjoint so far. Here is the key opening identified by 5GSmartFact: the need of a surge of skilled researchers and engineers in the upcoming years to work at the crossroads of factory automation and 5G evolutions. Having this in mind, the objective of the research programme is to train young researches to be able to analyse, design, develop and assess the deployment of 5G networks that target the i4.0 requirements and exploit them to integrate current robot applications which might lead to a complete redesign of robot architectures and hence to a leap forward in the automation industry.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences internet internet of things
- social sciences sociology industrial relations automation
- social sciences political sciences political transitions revolutions
- social sciences economics and business economics production economics productivity
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.1. - Fostering new skills by means of excellent initial training of researchers
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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.
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.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-ITN-2020
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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.
08034 Barcelona
Spain
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.