Opendata, web and dolomites


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

Total Cost €


EC-Contrib. €






Project "OPTOFORCE" data sheet

The following table provides information about the project.


Organization address
address: MARTIROK UTJA 81/B
postcode: 2800
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 Hungary [HU]
 Project website
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.2.1.5. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing)
2. H2020-EU.2.1.3. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced materials)
3. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
4. H2020-EU.2.1.2. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Nanotechnologies)
 Code Call H2020-SMEINST-1-2016-2017
 Funding Scheme SME-1
 Starting year 2017
 Duration (year-month-day) from 2017-12-01   to  2018-03-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    OPTOFORCE KFT HU (TATABANYA) coordinator 50˙000.00


 Project 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.

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

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