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DREAM SIGNED

Deferred Restructuring of Experience in Autonomous Machines

Total Cost €

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EC-Contrib. €

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Partnership

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 DREAM project word cloud

Explore the words cloud of the DREAM project. It provides you a very rough idea of what is the project "DREAM" about.

skills    time    robot    et    robots    dream    consolidate    sleep    consolidation    autonomous    al   

Project "DREAM" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITE PIERRE ET MARIE CURIE - PARIS 6 

Organization address
address: Place Jussieu 4
city: PARIS
postcode: 75252
website: www.upmc.fr

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 France [FR]
 Total cost 2˙784˙240 €
 EC max contribution 2˙730˙241 € (98%)
 Programme 1. H2020-EU.1.2.2. (FET Proactive)
 Code Call H2020-FETPROACT-2014
 Funding Scheme /RIA
 Starting year 2015
 Duration (year-month-day) from 2015-01-01   to  2018-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITE PIERRE ET MARIE CURIE - PARIS 6 FR (PARIS) coordinator 883˙650.00
2    UNIVERSIDADE DA CORUNA ES (LA CORUNA) participant 539˙998.00
3    ASSOCIATION POUR LA RECHERCHE ET LE DEVELOPPEMENT DES METHODES ET PROCESSUS INDUSTRIELS FR (PARIS) participant 512˙480.00
4    STICHTING VU NL (AMSTERDAM) participant 446˙693.00
5    THE UNIVERSITY OF EDINBURGH UK (EDINBURGH) participant 237˙096.00
6    QUEEN MARY UNIVERSITY OF LONDON UK (LONDON) participant 110˙323.00

Mappa

 Project objective

A holy grail in robotics and artificial intelligence is to design a machine that can accumulate adaptations on developmental time scales of months and years. From infancy through adult- hood, such a system must continually consolidate and bootstrap its knowledge, to ensure that the learned knowledge and skills are compositional, and organized into meaningful hierarchies. Consolidation of previous experience and knowledge appears to be one of the main purposes of sleep and dreams for humans, that serve to tidy the brain by removing excess information, to recombine concepts to improve information processing, and to consolidate memory. Our approach – Deferred Restructuring of Experience in Autonomous Machines (DREAM) – incorporates sleep and dream-like processes within a cognitive architecture. This enables an individual robot or groups of robots to consolidate their experience into more useful and generic formats, thus improving their future ability to learn and adapt. DREAM relies on Evo- lutionary Neurodynamic ensemble methods (Fernando et al, 2012 Frontiers in Comp Neuro; Bellas et al., IEEE-TAMD, 2010 ) as a unifying principle for discovery, optimization, re- structuring and consolidation of knowledge. This new paradigm will make the robot more autonomous in its acquisition, organization and use of knowledge and skills just as long as they comply with the satisfaction of pre-established basic motivations. DREAM will enable robots to cope with the complexity of being an information-processing entity in domains that are open-ended both in terms of space and time. It paves the way for a new generation of robots whose existence and purpose goes far beyond the mere execution of dull tasks.

 Work performed, outcomes and results:  advancements report(s) 

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

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