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OpenDR SIGNED

Open Deep Learning Toolkit for Robotics

Total Cost €

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EC-Contrib. €

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Partnership

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Project "OpenDR" data sheet

The following table provides information about the project.

Coordinator
ARISTOTELIO PANEPISTIMIO THESSALONIKIS 

Organization address
address: KEDEA BUILDING, TRITIS SEPTEMVRIOU, ARISTOTLE UNIV CAMPUS
city: THESSALONIKI
postcode: 54636
website: www.auth.gr

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 Greece [EL]
 Total cost 6˙661˙685 €
 EC max contribution 6˙661˙685 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2019-2
 Funding Scheme RIA
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2022-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ARISTOTELIO PANEPISTIMIO THESSALONIKIS EL (THESSALONIKI) coordinator 1˙173˙750.00
2    ALBERT-LUDWIGS-UNIVERSITAET FREIBURG DE (FREIBURG) participant 916˙750.00
3    AARHUS UNIVERSITET DK (AARHUS C) participant 897˙500.00
4    TECHNISCHE UNIVERSITEIT DELFT NL (DELFT) participant 874˙685.00
5    TAMPEREEN KORKEAKOULUSAATIO SR FI (TAMPERE) participant 870˙000.00
6    CYBERBOTICS SARL CH (LAUSANNE) participant 803˙750.00
7    AGRO INTELLIGENCE APS DK (AARHUS N) participant 620˙875.00
8    PAL ROBOTICS SL ES (BARCELONA) participant 504˙375.00

Map

 Project objective

The aim of OpenDR is to develop a modular, open and non-proprietary tool kit for core robotic functionalities by harnessing deep learning to provide advanced perception and cognition capabilities, meeting in this way the general requirements of robotics applications in the applications areas of Healthcare, Agri-Food and Agile Production. The term toolkit in OpenDR refers to a set of deep learning software functions, packages and utilities used to help roboticists to develop and test a robotic application that incorporates deep learning. OpenDR will provide the means to link the robotics applications to software libraries (deep learning frameworks, e.g., tensorflow) and to link it with the operating environment (ROS). OpenDR focuses on the AI and Cognition core technology in order to provide tools that make robotic systems cognitive, giving them the ability to a) interact with people and environments by developing deep learning methods for human centric and environment active perception and cognition, b) learn and categorise by developing deep learning tools for training and inference in common robotics settings, and c) make decisions and derive knowledge by developing deep learning tools for cognitive robot action and decision making. As a result, the developed OpenDR toolkit will also enable cooperative human-robot interaction as well as the development of cognitive mechatronics where sensing and actuation are closely coupled with cognitive systems thus contributing to another two core technologies beyond AI and Cognition. OpenDR will develop, train, deploy and evaluate deep learning models that improve the technical capabilities of the core technologies beyond the current state of the art. It will enable a greater range of robotics applications that can be demonstrated at TRL 3 and above, thus lowering the technical barriers within the prioritised application areas.

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

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