Explore the words cloud of the DREAM project. It provides you a very rough idea of what is the project "DREAM" about.
The following table provides information about the project.
Coordinator |
UNIVERSITE PIERRE ET MARIE CURIE - PARIS 6
There are not information about this coordinator. Please contact Fabio for more information, thanks. |
Coordinator Country | France [FR] |
Project website | http://www.robotsthatdream.eu/ |
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 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | SORBONNE UNIVERSITE | FR (PARIS) | coordinator | 883˙650.00 |
2 | UNIVERSITE PIERRE ET MARIE CURIE - PARIS 6 | FR (PARIS) | coordinator | 0.00 |
3 | UNIVERSIDADE DA CORUNA | ES (LA CORUNA) | participant | 539˙998.00 |
4 | ASSOCIATION POUR LA RECHERCHE ET LE DEVELOPPEMENT DES METHODES ET PROCESSUS INDUSTRIELS | FR (PARIS) | participant | 512˙480.00 |
5 | STICHTING VU | NL (AMSTERDAM) | participant | 446˙693.00 |
6 | THE UNIVERSITY OF EDINBURGH | UK (EDINBURGH) | participant | 237˙096.00 |
7 | QUEEN MARY UNIVERSITY OF LONDON | UK (LONDON) | participant | 110˙323.00 |
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.
DREAM module WP1 | Other | 2019-11-20 14:22:49 |
Publication 3 WP4 | Documents, reports | 2019-11-20 14:22:49 |
Publication 2 WP5 | Documents, reports | 2019-11-20 14:22:48 |
Publication 3 WP1 | Documents, reports | 2019-11-20 14:22:48 |
Open Research Data Pilot | Open Research Data Pilot | 2019-11-20 14:22:49 |
Publication WP6 | Documents, reports | 2019-11-20 14:22:48 |
Publication 2 WP3 | Documents, reports | 2019-11-20 14:22:48 |
Data management plan, v3 | Documents, reports | 2019-11-20 14:22:49 |
Complete DREAM dem. | Demonstrators, pilots, prototypes | 2019-11-20 14:22:48 |
Publication 2 WP4 | Documents, reports | 2019-11-20 14:22:48 |
Publication 3 WP5 | Documents, reports | 2019-11-20 14:22:49 |
Publication 3 WP3 | Documents, reports | 2019-11-20 14:22:49 |
Publication 3 WP2 | Documents, reports | 2019-11-20 14:22:48 |
DREAM Module WP3 | Other | 2019-11-20 14:22:48 |
DREAM v1 | Other | 2019-11-20 14:22:48 |
Data management plan, v2 | Documents, reports | 2019-11-20 14:22:48 |
Publication 2 WP2 | Documents, reports | 2019-11-20 14:22:47 |
Publication 2 WP1 | Documents, reports | 2019-11-20 14:22:47 |
DREAM Module WP4 | Other | 2019-11-20 14:22:47 |
DREAM Module WP2 | Other | 2019-11-20 14:22:48 |
Publication 1 WP3 | Documents, reports | 2019-11-20 14:22:48 |
Publication 1 WP4 | Documents, reports | 2019-11-20 14:22:48 |
Publication 1 WP5 | Documents, reports | 2019-11-20 14:22:48 |
Publication 1 WP2 | Documents, reports | 2019-11-20 14:22:45 |
Publication 1 WP1 | Documents, reports | 2019-11-20 14:22:45 |
Experimental protocol | Documents, reports | 2019-11-20 14:22:45 |
CAFER Release | Other | 2019-11-20 14:22:45 |
Data management plan, v1 | Documents, reports | 2019-11-20 14:22:45 |
DREAM web site | Websites, patent fillings, videos etc. | 2019-11-20 14:22:45 |
Take a look to the deliverables list in detail: detailed list of DREAM deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2017 |
Y. Yang, Y. Zheng, T. M. Hospedales Gated Neural Networks for Option Pricing: Rationality by Design published pages: , ISSN: , DOI: |
AAAI Conference on Artificial Intelligence | 2019-11-20 |
2017 |
Heinerman, J., Stork, J., Rebolledo, M., Hubert, J., Eiben, A.E., Bartz-Beielstein, T., Haasdijk, E. Can Social Learning Increase Learning Speed, Performance or Both? published pages: , ISSN: , DOI: |
Proceedings of the European Conference on Artificial Life | 2019-11-20 |
2016 |
Arthur Bernard, Jean-Baptiste André, Nicolas Bredeche To Cooperate or Not to Cooperate: Why Behavioural Mechanisms Matter published pages: e1004886, ISSN: 1553-7358, DOI: 10.1371/journal.pcbi.1004886 |
PLOS Computational Biology 12/5 | 2019-11-20 |
2016 |
Jean-Marc Montanier, Simon Carrignon, Nicolas Bredeche Behavioral Specialization in Embodied Evolutionary Robotics: Why So Difficult? published pages: , ISSN: 2296-9144, DOI: 10.3389/frobt.2016.00038 |
Frontiers in Robotics and AI 3 | 2019-11-20 |
2018 |
Richard J. Duro, Jose A. Becerra, Juan Monroy, Francisco Bellas Perceptual Generalization and Context in a Network Memory Inspired Long-Term Memory for Artificial Cognition published pages: 1850053, ISSN: 0129-0657, DOI: 10.1142/S0129065718500533 |
International Journal of Neural Systems | 2019-11-20 |
2016 |
Olivier Sigaud, Alain Droniou Towards Deep Developmental Learning published pages: 99-114, ISSN: 2379-8920, DOI: 10.1109/TAMD.2015.2496248 |
IEEE Transactions on Cognitive and Developmental Systems 8/2 | 2019-11-20 |
2016 |
P. Caama?o, R. Salgado, F. Bellas, R. J. Duro Introducing Synaptic Delays in the NEAT Algorithm to Improve Modelling in Cognitive Robotics published pages: 479-504, ISSN: 1370-4621, DOI: 10.1007/s11063-015-9426-5 |
Neural Processing Letters 43/2 | 2019-11-20 |
2015 |
Legoff, L. and Maestre, C. and Doncieux, S. Visual saliency-based babbling of unknown dynamic environments (extended abstract) published pages: , ISSN: , DOI: |
Learning Object Affordances Workshop, IROS 2015 | 2019-11-20 |
2017 |
Matthieu Zimmer, Stephane Doncieux Bootstrapping Q-Learning for Robotics from Neuro-Evolution Results published pages: 1-1, ISSN: 2379-8920, DOI: 10.1109/TCDS.2016.2628817 |
IEEE Transactions on Cognitive and Developmental Systems | 2019-11-20 |
2017 |
Jacqueline Heinerman, Evert Haasdijk, A.E. Eiben Unsupervised identification and recognition of situations for high-dimensional sensori-motor streams published pages: , ISSN: 0925-2312, DOI: 10.1016/j.neucom.2017.02.090 |
Neurocomputing | 2019-11-20 |
2017 |
Heinerman, J., Stork, J., Rebolledo, M., Hubert, J., Eiben, A.E., Bartz-Beielstein, T., Haasdijk, E. Is Social Learning More Than Parameter Tuning? published pages: , ISSN: , DOI: 10.1145/3067695.3076059 |
Proceedings of the 18th annual conference on Genetic and evolutionary computation | 2019-11-20 |
2017 |
F. Bellas, M. Naya, G. Varela, L. Llamas, A. Prieto, J.C. Becerra, M. Bautista, A. Faiña, R.J. Duro The Robobo Project: Bringing Educational Robotics Closer to Real-World Applications published pages: , ISSN: , DOI: |
Proceedings 8th International Conference on Robotics in Education (RIE 2017) | 2019-11-20 |
2016 |
R. Salgado, A. Prieto, F. Bellas, L. Calvo-Varela, R.J. Duro Motivational engine with autonomous sub-goal identification for the Multilevel Darwinist Brain published pages: 1-11, ISSN: 2212-683X, DOI: 10.1016/j.bica.2016.07.003 |
Biologically Inspired Cognitive Architectures 17 | 2019-11-20 |
2017 |
Richard J. Duro, Jose A. Becerra, Juan Monroy, Luis Calvo Multilevel Darwinist Brain: Context Nodes in a Network Memory Inspired Long Term Memory published pages: 22-31, ISSN: , DOI: 10.1007/978-3-319-59740-9_3 |
2019-11-20 | |
2017 |
P. Trueba, A. Prieto, F. Bellas Embodied Evolution versus Cooperative Coevolution in Multi-Robot Optimization: a practical comparison published pages: , ISSN: , DOI: |
Proceedings GECCO 2017 | 2019-11-20 |
2016 |
Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Chen-Change Loy Sketch Me That Shoe published pages: 799-807, ISSN: , DOI: |
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) | 2019-11-20 |
2015 |
Stefano Palminteri, Mehdi Khamassi, Mateus Joffily, Giorgio Coricelli Contextual modulation of value signals in reward and punishment learning published pages: 8096, ISSN: 2041-1723, DOI: 10.1038/ncomms9096 |
Nature Communications 6 | 2019-11-20 |
2016 |
Yun Zhou, Timothy M. Hospedales, Norman Fenton When and where to transfer for Bayesian network parameter learning published pages: 361-373, ISSN: 0957-4174, DOI: 10.1016/j.eswa.2016.02.011 |
Expert Systems with Applications 55 | 2019-11-20 |
2015 |
Freek Stulp, Olivier Sigaud Many regression algorithms, one unified model: A review published pages: 60-79, ISSN: 0893-6080, DOI: 10.1016/j.neunet.2015.05.005 |
Neural Networks 69 | 2019-11-20 |
2016 |
Jacqueline Heinerman, Alessandro Zonta, Evert Haasdijk, A. E. Eiben On-line Evolution of Foraging Behaviour in a Population of Real Robots published pages: 198-212, ISSN: , DOI: 10.1007/978-3-319-31153-1_14 |
Applications of Evolutionary Computation | 2019-11-20 |
2017 |
Evert Haasdijk, Jacqueline Heinerman Quantifying Selection Pressure published pages: , ISSN: 1063-6560, DOI: 10.1162/EVCO_a_00207 |
Evolutionary Computation | 2019-11-20 |
2015 |
Stephane Doncieux, Nicolas Bredeche, Jean-Baptiste Mouret, Agoston E. (Gusz) Eiben Evolutionary Robotics: What, Why, and Where to published pages: , ISSN: 2296-9144, DOI: 10.3389/frobt.2015.00004 |
Frontiers in Robotics and AI 2 | 2019-11-20 |
2015 |
Yun Zhou, Norman Fenton, Timothy M. Hospedales and Martin Neil Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints published pages: 972-981, ISSN: , DOI: |
Uncertainty in Artificial Intelligence | 2019-11-20 |
2017 |
Rodrigo Salgado, Abraham Prieto, Francisco Bellas, Richard J. Duro Motivational Engine for Cognitive Robotics in Non-Static Tasks published pages: 32-42, ISSN: , DOI: 10.1007/978-3-319-59740-9_4 |
Lecture Notes in Computer Science 10337 | 2019-11-20 |
2016 |
Rodrigo Salgado, Abraham Prieto, Pilar Caama?o, Francisco Bellas, Richard J. Duro Motivational Engine with Sub-Goal Identification in Neuroevolution based Cognitive Robotics published pages: 659-670, ISSN: , DOI: 10.1007/978-3-319-32034-2_55 |
Lecture Notes in Computer Science 9648 | 2019-11-20 |
2017 |
YANG, Yongxin et HOSPEDALES, Timothy Deep Multi-task Representation Learning: A Tensor Factorisation Approach published pages: , ISSN: , DOI: |
Proceedings of ICLR | 2019-11-20 |
2017 |
P. Caama?o, G. Varela, R.J. Duro An evolutionary approach to constrained sampling optimization problems published pages: 266-279, ISSN: 1568-4946, DOI: 10.1016/j.asoc.2016.12.002 |
Applied Soft Computing 51 | 2019-11-20 |
2017 |
C. Zhao, T. Hospedales, F. Stulp, O. Sigaud Tensor Based Knowledge Transfer Across Skill Categories for Robot Control published pages: , ISSN: , DOI: |
Proceedings of IJCAI 2017 | 2019-11-20 |
2015 |
Ecarlat, P. and Cully, A. and Maestre, C. and Doncieux, S. Learning a high diversity of object manipulations though an evolutionary-based babbling (extended abstract) published pages: , ISSN: , DOI: |
Learning Object Affordances Workshop, IROS 2015 | 2019-11-20 |
2015 |
G. Hu, Y. Yang, D. Yi, J. Kittler, W. Christmas, S. Z. Li, T. Hospedales When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition published pages: , ISSN: , DOI: |
ICCV Workshop ChaLearn Looking at People | 2019-11-20 |
2016 |
Abraham Prieto, F. Bellas, P. Trueba, R.J. Duro Real-time optimization of dynamic problems through distributed Embodied Evolution published pages: 237-253, ISSN: 1069-2509, DOI: 10.3233/ICA-160522 |
Integrated Computer-Aided Engineering 23/3 | 2019-11-20 |
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The information about "DREAM" are provided by the European Opendata Portal: CORDIS opendata.