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H2020

GOAL-Robots

Goal-based Open-ended Autonomous Learning Robots

Programme
Horizon 2020
Started
Ends
Duration
54 months
Total cost
EUR 3,481,875
EU contribution
EUR 3,481,875
Participants
6 from 2 countries
Topic
H2020_FETOPEN-RIA-2014-2015
Grant agreement
713010

Consortium

EU contribution per participant as the open data of CORDIS states it; for a participant with linked third parties it may include their share, and a participant whose amount the data does not hold or cannot make consistent shows Not stated. A participant who left the project is not listed; see the history below.

Members of the consortium
OrganisationCountryRoleEU contributionRecognised by
Stiftung Frankfurt Institute for Advanced StudiesDEGermanyParticipantEUR 709,875PIC (1.00)
Technische Universitat DarmstadtDEGermanyParticipantEUR 938,125known name (0.97)
UNIVERSITAET zu LUEBECKDEGermanyThird partyNot statedPIC (1.00)
Imagine Institut des Maladies Genetiques Necker Enfants Malades FondationFRFranceThird partyNot statedPIC (1.00)
Learning Planet InstituteFRFranceThird partyNot statedPIC (1.00)
Universite Paris CiteFRFranceParticipantEUR 555,166known name (0.95)

Changes of the consortium

First seen on with 6 participants from 2 countries.

A snapshot of each project's members is taken once a month; a change is recorded when a snapshot differs from the one before. A project with no change listed has had the same members since it was first observed.

Project page on CORDIS (opens in new tab)

Where this comes from

EU contribution is the amount CORDIS's open data pays to the participant. For a participant with linked third parties it may include their share (the CORDIS page prints the net); an amount the data does not hold is left out, not counted as zero. EDF factsheets state none per participant, so EDF projects count as projects but add nothing to the amounts.

Organisation-level facts only: a name, a country, a role, an amount, a year. A participant is recognised by its PIC where the source gives one, otherwise by name; the page says which. How the data is built.