Contactpierre-yves dot# oudeyer at inria.frPopular science highlights
L'expérience Ergo-Robots, expostion "Mathématiques un Dépaysement Soudain", Fondation Cartier, Paris
France Culture (jan. 2012), "La robotique pour mieux comprendre l'homme", Emission Continent Sciences de Stéphane Deligeorges. A propos du contexte scientifique dans lequel s'inscrit le projet Ergo-Robots.
France Inter, (Nov. 2011) "En direct de la Fondation Cartier: Les mystères des mathématiques, et les robots et la curiosité", 3D Le Journal (émission de Stéphane Paoli), France Inter. Podcast
France Inter (Juil. 2011) "Robots, Invasion Imminente ?", On verra ça demain (émission de Daniel Fiévet), France Inter. Podcast
France Culture (Juin 2011) Interview "L'apprentissage des robots", Podcast
Le Monde.Fr (avr. 2011) Reportage sur les interfaces homme-robot et l'utilisation de l'humanoide Nao dans les laboratoires de recherche
France Info (mars 2011)
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I am research director at Inria, heading the Flowers team, in developmental and social robotics. I study mechanisms for life-long autonomous learning and development in machines and humans, i.e. the developmental processes which lead to the progressive formation of behavioural, cognitive and social structures. I am particularly interested in the formation of repertoires of sensorimotor and interaction skills as well as in the acquisition and morphogenesis of language. This research is articulated along two mutually reinforcing strands:
A central hypothesis of this work is that open-ended learning in the real-world, as well as evolutionary formation of structures, can only happen when strong developmental processes constrain and structure exploration in extremely large and high-dimensional spaces. My approach is thus to study various families of such constraints through computational and robotic modeling, and in particular: self-organization, constraints on curiosity-driven exploration and intrinsic motivation, morphology and embodiment, maturation, perceptual and motor primitives, social cues and interaction dynamics allowing for fluid and robust peer-to-peer interaction and social learning. I am also strongly involved in creating interactions between science and society at large through popular science (vulgarisation scientifique, médiation scientifique), involving regular writing of popular science articles, participation to wide audience radio and tv programs and intervention in the press to address scientific issues, participation to science festivales and museum exhibitions. Selected recent publications Recent articles highlights: Nguyen, M., Oudeyer, P-Y. (2013) Active Choice of Teachers, Learning Strategies and Goals for a Socially Guided Intrinsic Motivation Learner, Paladyn Journal of Behavioural Robotics (in press). Joint action and language learning with Non-Negative Matrix Factorization Factorial Inverse Feedback Learning Adaptive Maturation for Motor Learning Modeling Speech Development with Curiosity-driven Learning Selected all times publications Baranes, A., Oudeyer, P-Y. (2013) Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots, Robotics and Autonomous Systems, 61(1), pp. 49-73. http://dx.doi.org/10.1016/j.robot.2012.05.008. Bibtex Oudeyer, P-Y. (2013) Self-Organization and Complex Dynamical Systems in the Evolution of Speech, in Smith, K. and Binder, P. eds., The Language Phenomenon, Springer. Bibtex Lopes M., Oudeyer P-Y. (2012) The Strategic Student Approach for Life-Long Exploration and Learning, in Proceedings of IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-Epirob), San Diego, USA. Bibtex Nguyen, M., Oudeyer, P-Y. (2013) Active Choice of Teachers, Learning Strategies and Goals for a Socially Guided Intrinsic Motivation Learner, Paladyn Journal of Behavioural Robotics (in press). Lopes M., Lang T., Toussaint M. and Oudeyer P-Y. (2012) Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress, Neural Information Processing Systems (NIPS 2012), Tahoe, USA. Bibtex Oudeyer, P-Y. (2010) On the impact of robotics in behavioral and cognitive sciences: from insect navigation to human cognitive development, IEEE Transactions on Autonomous Mental Development, 2(1), pp. 2--16. DOI: 10.1109/TAMD.2009.2039057. Bibtex Kaplan, F., Oudeyer, P-Y., Bergen B. (2008) Computational Models in the Debate over Language Learnability, Infant and Child Development, 17(1), pp. 55--80. Bibtex Oudeyer P-Y, Kaplan , F. and Hafner, V. (2007) Intrinsic Motivation Systems for Autonomous Mental Development, IEEE Transactions on Evolutionary Computation, 11(2), pp. 265--286. DOI: 10.1109/TEVC.2006.890271. Bibtex Kaplan F. and Oudeyer P-Y. (2007a) In search of the neural circuits of intrinsic motivation, Frontiers in Neuroscience, 1(1), pp.225--236. Bibtex Oudeyer P-Y., Kaplan F. (2006) Discovering Communication, Connection Science, 18(2), pp. 189--206. Bibtex Oudeyer, P-Y. (2006) Self-Organization in the Evolution of Speech, Studies in the Evolution of Language, Oxford University Press. Bibtex Oudeyer, P-Y. (2005) The Self-Organization of Speech Sounds, Journal of Theoretical Biology, 233(3), pp. 435--449. Bibtex Oudeyer P-Y. (2003) The production and recognition of emotions in speech: features and algorithms, International Journal in Human-Computer Studies , 59(1-2), pp. 157--183, special issue on Affective Computing. Bibtex Kaplan, F., Oudeyer, P-Y., Kubinyi, E. and Miklosi, A. (2002) Robotic clicker training. Robotics and Autonomous Systems, 38(3-4), pp. 197--206. Bibtex
It experiments models curiosity-driven learning and its interaction with language formation in humans and robots. It features robots that explore and learn about their environment through artificial curiosity, and at the same time invent their own language, to talk about their environment. Based on recent advanced models of autonomous learning inspired by human infant development, they progressively acquire new skills, discover ways to communicate with humans, and self-organize their own culture. At the frontiers of sciences and art, exploring fundamental questions about the nature of humans and machines, "Ergo-Robots" is a project which benefited from a collaboration with filmaker David Lynch (who designed the head and the environment of the robots) from an encounter with mathematician Mikhail Gromov (and his theory of ergo-systems). Its software and hardware development was realized by the INRIA Flowers team in collaboration with University of Bordeaux/Labri.
Photos of the Ergo-Robots installation are available here.
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Project
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I was awarded an 
News, october 2011:"
