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Deferred Restructuring of Experience in Autonomous Machines

Deliverables

Publication 1 WP4

First publication on WP4 results.

Publication 3 WP4

Final publication on WP4 results.

Publication 3 WP2

Third publication on WP2 results.

Publication 2 WP3

Second publication on WP3 results.

Data management plan, v1

release of the data management plan, version 1.

Publication 2 WP1

Second publication on WP1 results.

Publication 1 WP3

First publication on WP3 results.

Data management plan, v3

Release of the Data Management plan, version 3.

Publication 1 WP1

Publication on WP1 first results.

Publication 2 WP2

Second publication on WP2 results.

Publication 3 WP1

Third publication on WP1 results.

Publication 3 WP3

Final publication on WP3 results.

Experimental protocol

Experimental protocol to be used in the validation tests for the whole system.

Publication 1 WP5

First publication in between neuroscience and DREAM principles.

Publication WP6

Publication on the whole integrated DREAM architecture.

Publication 1 WP2

Publication on WP2 first results.

Publication 2 WP4

Second publication on WP4 results.

Publication 3 WP5

Final pubication on neuroscience and DREAM principles

Data management plan, v2

Release of the Data Management Plan, version 2.

Publication 2 WP5

Second publication on WP5 results.

DREAM Module WP2

First release of the DREAM module implementing the work done in the WP2

DREAM v1

First version of the DREAM core implementation on top of the CAFER framework.

CAFER Release

first release of the software framework that will support the implementation of the cognitive architecture and its different modules.

DREAM module WP1

First release of the DREAM module implementing the work done in WP1

DREAM Module WP4

First release of the DREAM module implementing the work done in the WP4.

DREAM Module WP3

First release of the DREAM module implementing the work done in WP3.

Open Research Data Pilot

Project signed before February 2016 Just to bypasss the error message during the amendement preparation proces.

DREAM web site

Web site of the project, first release.

Complete DREAM dem.

Complete DREAM architecture implemented with CAFER on top of the robot chosen for the demonstration.

Searching for OpenAIRE data...

Publications

Perceptual Generalization and Context in a Network Memory Inspired Long-Term Memory for Artificial Cognition

Author(s): Richard J. Duro, Jose A. Becerra, Juan Monroy, Francisco Bellas
Published in: International Journal of Neural Systems, 2018, Page(s) 1850053, ISSN 0129-0657
Publisher: World Scientific Publishing Co
DOI: 10.1142/S0129065718500533

Evolutionary Robotics: What, Why, and Where to

Author(s): Stephane Doncieux, Nicolas Bredeche, Jean-Baptiste Mouret, Agoston E. (Gusz) Eiben
Published in: Frontiers in Robotics and AI, 2, 2015, ISSN 2296-9144
Publisher: Frontiers
DOI: 10.3389/frobt.2015.00004

Many regression algorithms, one unified model: A review

Author(s): Freek Stulp, Olivier Sigaud
Published in: Neural Networks, 69, 2015, Page(s) 60-79, ISSN 0893-6080
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.neunet.2015.05.005

Contextual modulation of value signals in reward and punishment learning

Author(s): Stefano Palminteri, Mehdi Khamassi, Mateus Joffily, Giorgio Coricelli
Published in: Nature Communications, 6, 2015, Page(s) 8096, ISSN 2041-1723
Publisher: Nature Publishing Group
DOI: 10.1038/ncomms9096

An evolutionary approach to constrained sampling optimization problems

Author(s): P. Caama?o, G. Varela, R.J. Duro
Published in: Applied Soft Computing, 51, 2017, Page(s) 266-279, ISSN 1568-4946
Publisher: Elsevier BV
DOI: 10.1016/j.asoc.2016.12.002

Motivational engine with autonomous sub-goal identification for the Multilevel Darwinist Brain

Author(s): R. Salgado, A. Prieto, F. Bellas, L. Calvo-Varela, R.J. Duro
Published in: Biologically Inspired Cognitive Architectures, 17, 2016, Page(s) 1-11, ISSN 2212-683X
Publisher: Elsevier BV
DOI: 10.1016/j.bica.2016.07.003

Real-time optimization of dynamic problems through distributed Embodied Evolution

Author(s): Abraham Prieto, F. Bellas, P. Trueba, R.J. Duro
Published in: Integrated Computer-Aided Engineering, 23/3, 2016, Page(s) 237-253, ISSN 1069-2509
Publisher: IOS Press
DOI: 10.3233/ICA-160522

Introducing Synaptic Delays in the NEAT Algorithm to Improve Modelling in Cognitive Robotics

Author(s): P. Caama?o, R. Salgado, F. Bellas, R. J. Duro
Published in: Neural Processing Letters, 43/2, 2016, Page(s) 479-504, ISSN 1370-4621
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s11063-015-9426-5

Quantifying Selection Pressure

Author(s): Evert Haasdijk, Jacqueline Heinerman
Published in: Evolutionary Computation, 2017, ISSN 1063-6560
Publisher: MIT Press
DOI: 10.1162/EVCO_a_00207

Unsupervised identification and recognition of situations for high-dimensional sensori-motor streams

Author(s): Jacqueline Heinerman, Evert Haasdijk, A.E. Eiben
Published in: Neurocomputing, 2017, ISSN 0925-2312
Publisher: Elsevier BV
DOI: 10.1016/j.neucom.2017.02.090

To Cooperate or Not to Cooperate: Why Behavioural Mechanisms Matter

Author(s): Arthur Bernard, Jean-Baptiste André, Nicolas Bredeche
Published in: PLOS Computational Biology, 12/5, 2016, Page(s) e1004886, ISSN 1553-7358
Publisher: -
DOI: 10.1371/journal.pcbi.1004886

Bootstrapping Q-Learning for Robotics from Neuro-Evolution Results

Author(s): Matthieu Zimmer, Stephane Doncieux
Published in: IEEE Transactions on Cognitive and Developmental Systems, 2017, Page(s) 1-1, ISSN 2379-8920
Publisher: IEEE
DOI: 10.1109/TCDS.2016.2628817

Towards Deep Developmental Learning

Author(s): Olivier Sigaud, Alain Droniou
Published in: IEEE Transactions on Cognitive and Developmental Systems, 8/2, 2016, Page(s) 99-114, ISSN 2379-8920
Publisher: IEEE
DOI: 10.1109/TAMD.2015.2496248

Behavioral Specialization in Embodied Evolutionary Robotics: Why So Difficult?

Author(s): Jean-Marc Montanier, Simon Carrignon, Nicolas Bredeche
Published in: Frontiers in Robotics and AI, 3, 2016, ISSN 2296-9144
Publisher: -
DOI: 10.3389/frobt.2016.00038

When and where to transfer for Bayesian network parameter learning

Author(s): Yun Zhou, Timothy M. Hospedales, Norman Fenton
Published in: Expert Systems with Applications, 55, 2016, Page(s) 361-373, ISSN 0957-4174
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2016.02.011

Facilitating intention prediction for humans by optimizing robot motions

Author(s): Freek Stulp, Jonathan Grizou, Baptiste Busch, Manuel Lopes
Published in: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015, Page(s) 1249-1255, ISBN 978-1-4799-9994-1
Publisher: IEEE
DOI: 10.1109/IROS.2015.7353529

Bootstrapping interactions with objects from raw sensorimotor data: A novelty search based approach

Author(s): Carlos Maestre, Antoine Cully, Christophe Gonzales, Stephane Doncieux
Published in: 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2015, Page(s) 7-12, ISBN 978-1-4673-9320-1
Publisher: IEEE
DOI: 10.1109/DEVLRN.2015.7346098

Sketch-a-Net that Beats Humans

Author(s): Qian Yu, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy Hospedales
Published in: Procedings of the British Machine Vision Conference 2015, 2015, Page(s) 7.1-7.12, ISBN 1-901725-53-7
Publisher: British Machine Vision Association
DOI: 10.5244/C.29.7

Applying the canonical distributed Embodied Evolution algorithm in a collective indoor navigation task

Author(s): P. Trueba, A. Prieto, F. Bellas, R.J. Duro
Published in: 2015 International Joint Conference on Neural Networks (IJCNN), 2015, Page(s) 1-8, ISBN 978-1-4799-1960-4
Publisher: IEEE
DOI: 10.1109/IJCNN.2015.7280807

Evolution, Individual Learning, and Social Learning in a Swarm of Real Robots

Author(s): Jacqueline Heinerman, Massimiliano Rango, A.E. Eiben
Published in: 2015 IEEE Symposium Series on Computational Intelligence, 2015, Page(s) 1055-1062, ISBN 978-1-4799-7560-0
Publisher: IEEE
DOI: 10.1109/SSCI.2015.152

Three-fold Adaptivity in Groups of Robots - The Effect of Social Learning

Author(s): Jacqueline Heinerman, Dexter Drupsteen, A.E. Eiben
Published in: Proceedings of the 2015 on Genetic and Evolutionary Computation Conference - GECCO '15, 2015, Page(s) 177-183, ISBN 9781-450334723
Publisher: ACM Press
DOI: 10.1145/2739480.2754743

Improving the performance of evolutionary algorithms by soft-constraining their sampling capabilities

Author(s): P. Caamano, G. Varela, R.J. Duro
Published in: 2015 IEEE Congress on Evolutionary Computation (CEC), 2015, Page(s) 1319-1326, ISBN 978-1-4799-7492-4
Publisher: IEEE
DOI: 10.1109/CEC.2015.7257041

When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition

Author(s): G. Hu, Y. Yang, D. Yi, J. Kittler, W. Christmas, S. Z. Li, T. Hospedales
Published in: ICCV Workshop ChaLearn Looking at People, 2015
Publisher: IEEE

Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints

Author(s): Yun Zhou, Norman Fenton, Timothy M. Hospedales and Martin Neil
Published in: Uncertainty in Artificial Intelligence, 2015, Page(s) 972-981
Publisher: AUAI Press

Evolution of Cooperation in Evolutionary Robotics: the Tradeoff between Evolvability and Efficiency

Author(s): Arthur Bernard, Jean-Baptiste André, Nicolas Bredeche
Published in: 07/20/2015-07/24/2015, 2015, Page(s) 495-502, ISBN 9780-262330275
Publisher: The MIT Press
DOI: 10.7551/978-0-262-33027-5-ch087

Visual saliency-based babbling of unknown dynamic environments (extended abstract)

Author(s): Legoff, L. and Maestre, C. and Doncieux, S.
Published in: Learning Object Affordances Workshop, IROS 2015, 2015
Publisher: Jamone, L. et al.

Learning a high diversity of object manipulations though an evolutionary-based babbling (extended abstract)

Author(s): Ecarlat, P. and Cully, A. and Maestre, C. and Doncieux, S.
Published in: Learning Object Affordances Workshop, IROS 2015, 2015
Publisher: Jamone, L. et al.

Multivariate Regression on the Grassmannian for Predicting Novel Domains

Author(s): Yongxin Yang, Timothy M. Hospedales
Published in: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Page(s) 5071-5080, ISBN 978-1-4673-8851-1
Publisher: IEEE
DOI: 10.1109/CVPR.2016.548

Deep Multi-task Representation Learning: A Tensor Factorisation Approach

Author(s): YANG, Yongxin et HOSPEDALES, Timothy
Published in: Proceedings of ICLR, 2017
Publisher: arxiv

Tensor Based Knowledge Transfer Across Skill Categories for Robot Control

Author(s): C. Zhao, T. Hospedales, F. Stulp, O. Sigaud
Published in: Proceedings of IJCAI 2017, 2017
Publisher: AAAI Press

Multilevel Darwinist Brain: Context Nodes in a Network Memory Inspired Long Term Memory

Author(s): Richard J. Duro, Jose A. Becerra, Juan Monroy, Luis Calvo
Published in: 2017, Page(s) 22-31
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-59740-9_3

Embodied Evolution versus Cooperative Coevolution in Multi-Robot Optimization: a practical comparison

Author(s): P. Trueba, A. Prieto, F. Bellas
Published in: Proceedings GECCO 2017, 2017
Publisher: ACM

Motivational Engine for Cognitive Robotics in Non-Static Tasks

Author(s): Rodrigo Salgado, Abraham Prieto, Francisco Bellas, Richard J. Duro
Published in: Lecture Notes in Computer Science, 10337, 2017, Page(s) 32-42
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-59740-9_4

The Robobo Project: Bringing Educational Robotics Closer to Real-World Applications

Author(s): F. Bellas, M. Naya, G. Varela, L. Llamas, A. Prieto, J.C. Becerra, M. Bautista, A. Faiña, R.J. Duro
Published in: Proceedings 8th International Conference on Robotics in Education (RIE 2017), 2017
Publisher: Springer

Improving extrinsically motivated developmental robots through intrinsic motivations

Author(s): Rodrigo Salgado, Abraham Prieto, Francisco Bellas, Richard J. Duro
Published in: 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2016, Page(s) 154-155, ISBN 978-1-5090-5069-7
Publisher: IEEE
DOI: 10.1109/DEVLRN.2016.7846809

Considering Memory Networks in the LTM Structure of the Multilevel Darwinist Brain

Author(s): Richard J. Duro, Jos? Antonio Becerra, Juan Monroy, Pilar Caamano
Published in: Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion - GECCO '16 Companion, 2016, Page(s) 1057-1060, ISBN 9781-450343237
Publisher: ACM Press
DOI: 10.1145/2908961.2931674

MotivEn: Motivational engine with sub-goal identification for autonomous robots

Author(s): Rodrigo Salgado, Abraham Prieto, Pilar Caamano, Francisco Bellas, Richard J. Duro
Published in: 2016 IEEE Congress on Evolutionary Computation (CEC), 2016, Page(s) 4887-4894, ISBN 978-1-5090-0623-6
Publisher: IEEE
DOI: 10.1109/CEC.2016.7744417

How Complexity Pervades Specialization in Canonical Embodied Evolution

Author(s): Pedro Trueba, Abraham Prieto, Francisco Bellas, Richard J. Duro
Published in: Proceedings of the Artificial Life Conference 2016, 2016, Page(s) 123-130, ISBN 978-0-262-33936-0
Publisher: MIT Press
DOI: 10.7551/978-0-262-33936-0-ch026

Motivational Engine with Sub-Goal Identification in Neuroevolution based Cognitive Robotics

Author(s): Rodrigo Salgado, Abraham Prieto, Pilar Caama?o, Francisco Bellas, Richard J. Duro
Published in: Lecture Notes in Computer Science, 9648, 2016, Page(s) 659-670
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-32034-2_55

On-line Evolution of Foraging Behaviour in a Population of Real Robots

Author(s): Jacqueline Heinerman, Alessandro Zonta, Evert Haasdijk, A. E. Eiben
Published in: Applications of Evolutionary Computation, 2016, Page(s) 198-212
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-31153-1_14

Is Social Learning More Than Parameter Tuning?

Author(s): Heinerman, J., Stork, J., Rebolledo, M., Hubert, J., Eiben, A.E., Bartz-Beielstein, T., Haasdijk, E.
Published in: Proceedings of the 18th annual conference on Genetic and evolutionary computation, 2017
Publisher: ACM
DOI: 10.1145/3067695.3076059

Can Social Learning Increase Learning Speed, Performance or Both?

Author(s): Heinerman, J., Stork, J., Rebolledo, M., Hubert, J., Eiben, A.E., Bartz-Beielstein, T., Haasdijk, E.
Published in: Proceedings of the European Conference on Artificial Life, 2017
Publisher: -

An iterative algorithm for forward-parameterized skill discovery

Author(s): Adrien Matricon, David Filliat, Pierre-Yves Oudeyer
Published in: 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2016, Page(s) 186-192, ISBN 978-1-5090-5069-7
Publisher: IEEE
DOI: 10.1109/DEVLRN.2016.7846816

Segmenting Objects through an Autonomous Agnostic Exploration Conducted by a Robot

Author(s): Leni K. Le Goff, Ghanim Mukhtar, Pierre-Henri Le Fur, Stephane Doncieux
Published in: 2017 First IEEE International Conference on Robotic Computing (IRC), 2017, Page(s) 284-291, ISBN 978-1-5090-6724-4
Publisher: IEEE
DOI: 10.1109/IRC.2017.22

Evolving Specialisation in a Population of Heterogeneous Robots: the Challenge of Bootstrapping and Maintaining Genotypic Polymorphism

Author(s): Arthur Bernard, Jean-Baptiste Andr, Nicolas Bredeche
Published in: Proceedings of the Artificial Life Conference 2016, 2016, Page(s) 152-159, ISBN 978-0-262-33936-0
Publisher: MIT Press
DOI: 10.7551/978-0-262-33936-0-ch032

Gated Neural Networks for Option Pricing: Rationality by Design

Author(s): Y. Yang, Y. Zheng, T. M. Hospedales
Published in: AAAI Conference on Artificial Intelligence, 2017
Publisher: -

Sketch Me That Shoe

Author(s): Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Chen-Change Loy
Published in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Page(s) 799-807
Publisher: Computer Vision Foundation

Autonomous Learning of Procedural Knowledge in an Evolutionary Cognitive Architecture for Robots

Author(s): Rodrigo Salgado, Francisco Bellas, Richard J. Duro
Published in: Applications of Evolutionary Computation, 2015, Page(s) 807-818, ISBN 978-3-319-16549-3
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-16549-3_65

Embodied Evolution for Collective Indoor Surveillance and Location

Author(s): Pedro Trueba, Abraham Prieto, Francisco Bellas, Richard J. Duro
Published in: Bioinspired Computation in Artificial Systems, 2015, Page(s) 138-147, ISBN 978-3-319-18833-1
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-18833-1_15

Studying the Coupled Learning of Procedural and Declarative Knowledge in Cognitive Robotics

Author(s): Rodrigo Salgado, Francisco Bellas, Richard J. Duro
Published in: Biomimetic and Biohybrid Systems, 2015, Page(s) 304-315, ISBN 978-3-319-22979-9
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-22979-9_30