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Robot Learning for Unprecedented Quality and Efficiency Improvements in the Manufacturing Industry

Objective

The need to widen the range of tasks that robots can handle and the emergence of the so-called fenceless robotic systems that can safely work alongside humans have required the development of tactile sensors that can detect changes in the surroundings throughout physical contact and force sensing, allowing improved safety. As a result, we are witnessing a growing demand of force and torque sensors in industries such as automotive, food and beverage, packaging, and pharmaceutical. On the other hand, all the sensing equipment integrated into the manufacturing processes generates enormous volumes of data within industrial control systems that is currently underused. However, there is an increasing need to exploit this data to reduce operating costs, improve reliability, and increase productivity. Likewise, most common industrial robots do not exploit the data they generate to improve their efficiency. They are programmed once and are unable to improve.
OptoForceX aims at providing plant managers with unparalleled F/T sensors that will enhance automation strategies and allow the exploitation of the production data generated on the manufacturing floor using state-of-the-art machine learning techniques. Manufacturers will be able to capture/collect and store vast amounts of data/information from high-quality sensors monitoring the manufacturing process. They will improve the performance of manufacturing robots by 10-20%, improve cycle time up to 15% and reduce quality inspection resources and maintenance efforts by 60%. We therefore offer manufacturers a valuable tool to enhance their manufacturing lines. We forecasted for this project a cumulative revenue of €51.61M for the first 3 years of commercialization, with a cumulative profit of €10.32M. We projected a ROI of 3.52. The payback period is reached during the 2nd commercialization year.

Fields of science (EuroSciVoc)

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Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

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.

SME-1 - SME instrument phase 1

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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-SMEInst-2016-2017

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Coordinator

OPTOFORCE KFT
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.

€ 50 000,00
Address
MARTIROK UTJA 81/B
2800 TATABANYA
Hungary

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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
Dunántúl Közép-Dunántúl Komárom-Esztergom
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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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.

€ 71 429,00
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