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5G ENHANCED ROBOT AUTONOMY

Project description

Increased robot autonomy through 5G technologies

With 5G technologies advancing at such fast rates, they are also being included in different sectors or fields. One of these is robotics, which has long been trying to increase robot autonomy. While progress has been slow, 5G technologies can help overcome many of the challenges. The EU-funded 5G-ERA project aims to take advantage of new 5G technology to assess current challenges in robot autonomy advancement and usage and then find solutions and improvements. This advancement of robot autonomy could offer great benefits for many sectors, including automated mobility, healthcare, transport and manufacturing.

Objective

5G-ERA is oriented towards a user-centric paradigm of integrating vertical knowledge into the existing standardised 5G testing framework to improve Quality of Experience (QoE). The project addresses the new challenges on experimental facilities for the vertical developers and designers through the following activities: 1) integrating operational processes of essential autonomous robotic capabilities into Open Source MANO (OSM), ensuring the vertical specific adaptation of existing experimentation facilities, 2) realising an intent-based networking paradigm by aligning the end-to-end (E2E) resource optimisation with the autonomous operations, ensuring effective policy to be designed 3) Cloud native Network Services (NSs) on the experimental facilities will create, ensuring robotic applications exploiting NFV/SDN infrastructures efficiently, 4) extending the experimentation facilities into robotic domains thorough standard APIs under Robot Operating System (ROS), prompting third-parties’ experimentation activities as well as engagement from new players.

Robot autonomy is essential for many 5G vertical sectors and can provide multiple benefits in automated mobility, Industry 4.0 and healthcare. 5G technology, on the other hand, has the great potential to enhance the robot autonomy. Use cases from four vertical sectors, namely public protection and disaster relief (PPDR), transport, healthcare and manufacturing will be validated in the project by rapid prototyping of NetApp solutions and enhanced vertical experiences on autonomy. These case studies can be regarded as showcases of the potential of 5G and 5G-ERA to the acceleration of the ongoing convergence of robotics, AI & cloud computing; and to unlock a next level of autonomy through 5G based learning in general.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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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.

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.

IA - Innovation action

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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-ICT-2018-20

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Coordinator

ROBOTNIK AUTOMATION SL
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.

€ 575 487,50
Address
RONDA AUGUSTE Y LOUIS LUMIERE 6 Y 8
46980 Paterna
Spain

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Este Comunitat Valenciana Valencia/València
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
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.

€ 822 125,00

Participants (12)

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