Information Seeking, Curiosity and Attention: Computational and Neural Mechanisms
Gottlieb, J., Oudeyer, P-Y., Lopes, M., Baranes, A. (2013)
Trends in Cognitive Science, 17(11), pp. 585-596. http://dx.doi.org/10.1016/j.tics.2013.09.001 Bibtex Pdf preprint

Moulin-Frier, C., Oudeyer, P-Y. (2013) Exploration strategies in developmental robotics: a unified probabilistic framework, in Proceedings of IEEE International Conference on Development and Learning and Epigenetic Robotics 2013 (ICDL-Epirob 2013), Osaka, Japan.

Benureau, F., Oudeyer, P-Y. (2013) Autonomous Reuse of Motor Exploration Trajectories, in Proceedings of IEEE International Conference on Development and Learning and Epigenetic Robotics 2013 (ICDL-Epirob 2013), Osaka, Japan.

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.

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).

Oudeyer P-Y., Baranes A., Kaplan F. (2013) Intrinsically Motivated Learning of Real-World Sensorimotor Skills with Developmental Constraints, in Intrinsically Motivated Learning in Natural and Artificial Systems, eds. Baldassarre G. and Mirolli M., Springer.

Montesano, L. and Lopes, M. (2012) Active learning of visual descriptors for grasping using non-parametric smoothed beta distributions, Robotics and Autonomous Systems, 60(3), 452-462, 2012.

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.

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.

Lopes, M., Oudeyer, P-Y. (2010) Active Learning and Intrinsically Motivated Exploration in Robots: Advances and Challenges (Guest editorial), IEEE Transactions on Autonomous Mental Development, 2(2), pp. 65-69.

Baranes, A., Oudeyer, P-Y. (2010) Intrinsically Motivated Goal Exploration for Active Motor Learning in Robots: a Case Study, in Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010), Taipei, Taiwan.

* Martinez-Cantin, R., Lopes, M., Montesano, L. (2010) Body Schema Acquisition through Active Learning, Ruben Martinez-Cantin, Manuel Lopes and Luis Montesano. IEEE – International Conference on Robotics and Automation (ICRA), Anchorage, Alaska, USA.

Baranes, A., Oudeyer, P-Y. (2009) R-IAC: Robust intrinsically motivated exploration and active learning, IEEE Transactions on Autonomous Mental Development, 1(3), pp. 155–169.

* Lopes, M., Melo, F. and Montesano, L. (2009) Active Learning for Reward Estimation in Inverse Reinforcement Learning, Manuel Lopes, Francisco Melo and Luis Montesano. European Conference on Machine Learning (ECML/PKDD), Bled, Slovenia.

* Oudeyer P-Y. and Kaplan F. (2007) What is intrinsic motivation? A typology of computational approaches, Frontiers in Neurorobotics, 1:6

* Kaplan F. and Oudeyer P-Y. (2007) In search of the neural circuits of intrinsic motivation, Frontiers in Neuroscience, 1(1), pp.225–236.

* 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.

* Oudeyer P-Y., Kaplan F. (2006) Discovering Communication, Connection Science, 18(2), pp. 189–206.

Kaplan, F., Oudeyer, P-Y (2003) Motivational principles for visual know-how development. In Prince, C.G. and Berthouze, L. and Kozima, H. and Bullock, D. and Stojanov, G. and Balkenius, C., editor, Proceedings of the 3rd international workshop on Epigenetic Robotics : Modeling cognitive development in robotic systems, no. 101, pages 73-80, 2003. Lund University Cognitive Studies.

Kaplan, F. and Oudeyer, P-Y (2004) Maximizing learning progress: an internal reward system for development. In Iida, F. and Pfeifer, R. and Steels, L. and Kuniyoshi, Y., editor, Embodied Artificial Intelligence,pp. 259–270, LNAI 3139, Springer-Verlag.

Hester T., Lopes M., and P. Stone (2013) Learning Exploration Strategies in Model-Based Reinforcement Learning, In: AAMAS. 2013.

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.

Degris, T., White, M., Sutton, R.S. (2012) Off-Policy Actor-Critic,
In Proceedings of the 29th International Conference on Machine Learning (ICML 12).

Stulp, F. and Sigaud, O. (2012) Path Integral Policy Improvement with Covariance Matrix Adaptation. In Proceedings of the 29th International Conference on Machine Learning (ICML 12).

Thomas Degris, Patrick Pilarski M., and Richard Sutton (2012) Model-Free Reinforcement Learning with Continuous Action in Practice. In: American Control Conference. Montreal, Canada, June 2012.

Pilarski, P.M., Dawson, M.R., Degris, T., Carey, J.P., Chan, K.M., Hebert, J.S.and R.S. Sutton (2013)Prediction and Anticipation for Adaptive Artificial Limbs, In IEEE Robotics and Automation Magazine, Special Issue on Assistive Robotics, March 2013, in press.

Stulp, F. (2012) Adaptive Exploration for Continual Reinforcement Learning. In Proceedings of International Conference on Intelligent Robots and Systems (IROS), Vilamoura, Portugal.

* Freek Stulp, Evangelos Theodorou, and Stefan Schaal (2012) Reinforcement Learning with Sequences of Motion Primitives for Robust Manipulation. IEEE Transactions on Robotics, 28(6):1360–1370. Winner of the King-Sun Fu Best Paper Award of the IEEE Transactions on Robotics, for the year 2012. Abstract. Bibtex

* Stulp, F., Buchli, B., Ellmer A., Mistry, M., Theodorou, E., and Schaal, S. (2012) Model-free Reinforcement Learning of Impedance Control in Stochastic Force Fields. IEEE Transactions on Autonomous Mental Development, 4(4):330–341.

* Peter Pastor, Mrinal Kalakrishnan, Franziska Meier, Freek Stulp, Jonas Buchli, Evangelos Theodorou, and Stefan Schaal (2012) From Dynamic Movement Primitives to Associative Skill Memories, Robotics and Autonomous Systems.

* Freek Stulp, Andreas Fedrizzi, Lorenz Mösenlechner, and Michael Beetz (2012) Learning and Reasoning with Action-Related Places for Robust Mobile Manipulation, Journal of Artificial Intelligence Research (JAIR), 43:1–42.

* R. Mahmood, R.S. Sutton, T. Degris, and P.M. Pilarski (2012) Tuning-Free Step-Size Adaptation. In: Proceedings of the 37th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 2012, pp. 2121–2124.

* Lopes, M., Melo, F. and Montesano, L. (2009) Active Learning for Reward Estimation in Inverse Reinforcement Learning, Manuel Lopes, Francisco Melo and Luis Montesano. European Conference on Machine Learning (ECML/PKDD), Bled, Slovenia.

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).

Rouanet, P., Oudeyer, P-Y., Danieau, F., Filliat, D. (2013) The Impact of Human-Robot Interfaces on the Learning of Visual Object, IEEE Transactions on Robotics, in press.

Maya Cakmak and Manuel Lopes. “Algorithmic and Human Teaching of Sequential Decision Tasks“. In: AAAI Conference on Artificial Intelligence (AAAI-12). Toronto, Canada, July 2012.

Mangin O., Oudeyer P.Y. (2012) Learning to recognize parallel combinations of human motion primitives with linguistic descriptions using non-negative matrix factorization, in IEEE/RSJ International Conference on Intelligent Robots and Systems, Vilamoura, Algarve (Portugal). [data][slides of presentation at IROS 2012] [video of presentation]

Mangin O., Oudeyer P.Y. (2012) Learning the combinatorial structure of demonstrated behaviors with inverse feedback control, in Proceedings of 3rd International Workshop on Human Behavior Unterstanding (HBU 2012), pp. 134)147, Springer, LNCS 7559. (This article is about Factorial Inverse Feedback Learning). [slides]

Sao Mai Nguyen and Pierre-Yves Oudeyer. “Interactive Learning Gives the Tempo to an Intrinsically Motivated Robot Learner“. In: IEEE-RAS International Conference on Humanoid Robots. Osaka, Japan, Dec. 2012.

Sao Mai Nguyen, Adrien Baranes, and Pierre-Yves Oudeyer. “Bootstrapping Intrin- sically Motivated Learning with Human Demonstrations“. In: IEEE International Conference on Development and Learning. Frankfurt, Germany, 2011.

Salah, A. Ruiz-del-Solar, J., Mericli, C., Oudeyer, P-Y. (2012) Human-Behavior Understanding for Robotics, in Human Behavior Understanding, LNCS 7559, Springer. doi: 10.1007/978-3-642-34014-7_1

Cederborg, T., Oudeyer, P-Y. (2011) Imitating Operations on Internal Cognitive Structures for Language Acquisition, Proceedings of IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS 2011), Bled, Slovenia.

Lopes, M., Cederborg, M., Oudeyer, P-Y. (2011) Simultaneous Acquisition of Task and Feedback Models, in proceedings of the IEEE International Conference on Development and Learning, Frankfurt, Germany.

Cederborg, T., Ming, L., Baranes, A., Oudeyer, P-Y. (2010) Incremental Local Online Gaussian Mixture Regression for Imitation Learning of Multiple Tasks, in Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010), Taipei, Taiwan.

* Francisco S. Melo and Manuel Lopes. “Learning from demonstration using MDP in- duced metrics“. In: Machine learning and knowledge discovery in databases (ECML/PKDD’10). Barcelona, Spain, 2010.

* A Computational Model of Social-Learning Mechanisms, Manuel Lopes, Francisco S. Melo, Ben Kenward and José Santos-Victor. Adaptive Behavior, 467(17), 2009. (pdf)

* Learning Object Affordances: From Sensory Motor Maps to Imitation, Luis Montesano, Manuel Lopes, Alexandre Bernardino,and José Santos-Victor. IEEE Transactions on Robotics, 24(1), 2008. (pdf)

Alexander Gepperth. “Efficient online bootstrapping of sensory representations“. Anglais. In: Neural Networks (Dec. 2012).

Alexander Gepperth, Benjamin Dittes, and Michael Garcia Ortiz. “The contribution of context information: a case study of object recognition in an intelligent car“. In: Neurocomputing 94 (Feb. 2012).

Luis Montesano and Manuel Lopes. “Active learning of visual descriptors for grasping using non-parametric smoothed beta distributions“. In: Robotics and Autonomous Systems 60(3) (2011), pp. 452–462.

Natalya Lyubova and David Filliat. “Developmental Approach for Interactive Object Discovery“. In: Neural Networks (IJCNN), The 2012 International Joint Conference on. Australia, 2012, pp. 1–7.

Serena Ivaldi, Natalya Lyubova, Damien G ́erardeaux-Viret, Alain Droniou, Salvatore Anzalone, Mohamed Chetouani, David Filliat, and Olivier Sigaud. “Perception and human interaction for developmental learning of objects and affordances“. In: Proc. of the 12th IEEE-RAS International Conference on Humanoid Robots – HUMANOIDS. page : to appear. Japan, 2012.

Mangin O., Oudeyer P.Y. (2012) Learning to recognize parallel combinations of human motion primitives with linguistic descriptions using non-negative matrix factorization, in IEEE/RSJ International Conference on Intelligent Robots and Systems, Vilamoura, Algarve (Portugal). [data][slides of presentation at IROS 2012] [video of presentation]

Mangin O., Oudeyer P.Y. (2012) Learning the combinatorial structure of demonstrated behaviors with inverse feedback control, in Proceedings of 3rd International Workshop on Human Behavior Unterstanding (HBU 2012), pp. 134)147, Springer, LNCS 7559. (This article is about Factorial Inverse Feedback Learning). [slides]

Alexandre Chapoulie, Patrick Rives, and David Filliat. “Topological segmentation of indoors/outdoors sequences of spherical views“. In: IEEE Conference on Intelligent Robots and Systems, IROS’12. Vilamoura, Portugal, Oct. 2012, pp. 4288– 4295.

David Filliat, Emmanuel Battesti, St ́ephane Bazeille, Guillaume Duceux, Alexander Gepperth, Lotfi Harrath, Islem Jebari, Rafael Pereira, Adriana Tapus, Cedric Meyer, Sio-Hoi Ieng, Ryad Benosman, Eddy Cizeron, Jean-Charles Mamanna, and Benoit Pothier. “RGBD object recognition and visual texture classification for indoor se- mantic mapping“. In: Technologies for Practical Robot Applications (TePRA), 2012 IEEE International Conference on. United States, 2012, pp. 127 –132.

Stephane Bazeille and David Filliat. “Incremental topo-metric SLAM using vision and robot odometry“. In: Proceedings of the International Conference on Robotics and Automation (ICRA). China, 2011, pp. 4067 –4073.

Thomas Schatz and Pierre-Yves Oudeyer. “Learning motor dependent Crutchfield’s information distance to anticipate changes in the topology of sensory body maps“. In: IEEE International Conference on Learning and Development. Chine Shangai, 2009,

* Jonas Ruesch, Manuel Lopes, Alexandre Bernardino, Jonas Hrnstein, Jos ́e Santos- Victor, and Rolf Pfeifer. “Multimodal Saliency-Based Bottom-Up Attention: A Frame- work for the Humanoid Robot iCub“. In: IEEE – International Conference on Robotics and Automation (ICRA’08). Pasadena, California, USA, 2008.

Grizou, J., Lopes, M., Oudeyer, P-Y. (2013) Robot Learning Simultaneously a Task and How to Interpret Human Instructions , in proceedings of the Joint IEEE International Conference on Development and Learning an on Epigenetic Robotics (ICDL-EpiRob), Osaka, Japan.

Mangin O., Oudeyer P.Y. (2013) Learning semantic components from sub-symbolic multi-modal perception. Proceedings of the third Joint IEEE International Conference on Development and Learning an on Epigenetic Robotics (ICDL-EpiRob 2013), Osaka (Japan).  [pdf] [bibtex][code] [details]

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.

Wrede B., Rohlfing K., Steil J., Wrede S., Oudeyer P-Y., Tani J. (2012) Towards Robots with Teleological Action and Language Understanding, in Workshop on Developmental Robotics of IEEE RAS Conference on Humanoid Robotics, Osaka, Japan.

* Raphael Laurent, Clément Moulin-Frier, Pierre Bessière, Jean-Luc Schwartz, and Julien Diard. “Integrate, yes, but what and how? A computational approach of perceptuo-motor fusion in speech perception.” In: Behavioral and Brain Sciences (commentaries) (2013). Accepted commentary in Behavioral and Brain Sciences, in Press.

Pierre-Yves Oudeyer. “On the impact of robotics in behavioral and cognitive sciences: from insect navigation to human cognitive development“. In: IEEE Transactions on Autonomous Mental Development 2.1 (2010), pp. 2–16.

Cederborg, T., Oudeyer, P-Y. (2011) Imitating Operations on Internal Cognitive Structures for Language Acquisition, Proceedings of IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS 2011), Bled, Slovenia.

Moulin-Frier, C. and Oudeyer, P-Y. (2012) Curiosity Driven Phonetic Learning, in Proceedings of IEEE International Conference on Development and Learning and Epigenetic Robot. Best Paper Award, category “Models of cognitive development”.

Lopes, M., Cederborg, M., Oudeyer, P-Y. (2011) Simultaneous Acquisition of Task and Feedback Models, in proceedings of the IEEE International Conference on Development and Learning, Frankfurt, Germany.

Mangin O., Oudeyer P.Y. (2012) Learning to recognize parallel combinations of human motion primitives with linguistic descriptions using non-negative matrix factorization, in IEEE/RSJ International Conference on Intelligent Robots and Systems, Vilamoura, Algarve (Portugal). [data][slides of presentation at IROS 2012][video of presentation]

Mangin, O., Oudeyer, P-Y., Filliat, D. (2010) A bag-of-features framework for incremental learning of speech invariants in unsegmented audio streams, in Proceedings of the Tenth International Conference on Epigenetic Robotics, Sweden, 2010.

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.

* Oudeyer, P-Y. and Kaplan, F. (2007) Language Evolution as a Darwinian Process: Computational Studies, Cognitive Processing, 8(1), pp. 21–35.

* Oudeyer P-Y., Kaplan F. (2006) Discovering Communication, Connection Science, 18(2), pp. 189–206.

* Oudeyer, P-Y. (2006) Self-Organization in the Evolution of Speech, Studies in the Evolution of Language, Oxford University Press.

Luis Montesano and Manuel Lopes. “Active learning of visual descriptors for grasping using non-parametric smoothed beta distributions“. In: Robotics and Autonomous Systems 60(3) (2011), pp. 452–462.

Frederic Kaplan and Pierre-Yves Oudeyer. “Stable kernels and fluid body envelopes“. In: Sice journal of control, measurement, and system integration, 48(1), (2009)

Serena Ivaldi, Natalya Lyubova, Damien G ́erardeaux-Viret, Alain Droniou, Salvatore Anzalone, Mohamed Chetouani, David Filliat, and Olivier Sigaud. “Perception and human interaction for developmental learning of objects and affordances“. In: Proc. of the 12th IEEE-RAS International Conference on Humanoid Robots – HUMANOIDS. page : to appear. Japan, 2012.

Stulp, F., Oudeyer, P-Y. (2012) Emergent Proximo-Distal Maturation with Adaptive Exploration, in Proceedings of IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-Epirob), San Diego, USA. [slides]

Schatz, T. and Oudeyer P-Y. (2009) Learning motor dependent Crutchfield’s information distance to anticipate changes in the topology of sensori body maps, Proceedings of the IEEE International Conference on Learning and Development, Shangaï, China.

Ruben Martinez-Cantin, Manuel Lopes, and Luis Montesano. “Body Schema Acqui- sition through Active Learning“. In: IEEE International Conference on Robotics and Automation (ICRA’10). Alaska, USA, 2010.

* Luis Montesano, Manuel Lopes, Alexandre Bernardino, and Jos ́e Santos-Victor. “Learning Object Affordances: From Sensory–Motor Coordination to Imitation“. In: IEEE Transactions on Robotics 24.1 (2008), pp. 15–26.

* 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.

P-Y. Oudeyer, A. Baranes, and F. Kaplan. “Intrinsically motivated learning of real world sensorimotor skills with developmental constraints“. In: Intrinsically Motivated Learning in Natural and Artificial Systems. Ed. by G. Baldassarre and M. Mirolli. Springer, 2013.

Stulp, F., Oudeyer, P-Y. (2012) Emergent Proximo-Distal Maturation with Adaptive Exploration, in Proceedings of IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-Epirob), San Diego, USA. [slides]

Adrien Baranes and Pierre-Yves Oudeyer. “The Interaction of Maturational Con- straints and Intrinsic Motivations in Active Motor Development“. In: ICDL – EpiRob. Frankfurt, Germany, Aug. 2011.

Matthieu Lapeyre, Olivier Ly, and Pierre-Yves Oudeyer. “Maturational constraints for motor learning in high-dimensions: the case of biped walking“. In: HUMANOIDS 2011. Bled, Slovenia, Oct. 2011.

Adrien Baranes and Pierre-Yves Oudeyer. “Maturationally-Constrained Competence- Based Intrinsically Motivated Learning“. English. In: IEEE International Conference on Development and Learning (ICDL 2010). Ann Arbor, United States, 2010.

Lapeyre, M., Ly, O., Oudeyer, P-Y. (2011) Maturational constraints for motor learning in high-dimensions : the case of biped walking, Proceedings of IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS 2011), Bled, Slovenia.

Ly, O., Lapeyre, M., Oudeyer, P-Y. (2011) Bio-inspired vertebral column, compliance and semi-passive dynamics in a lightweight robot, in Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), San Francisco, US.

Pierre-Yves Oudeyer, Olivier Ly, and Pierre Rouanet. “Exploring robust, intuitive and emergent physical human-robot interaction with the humanoid Acroban“. In: IEEE-RAS International Conference on Humanoid Robots. Bled, Slovenia, 2011.

Ly, O., Oudeyer, P-Y. (2010) Acroban the Humanoid: Playful and Compliant Physical Child-Robot Interaction, in ACM SIGGRAPH’2010 Emerging Technologies.

* Giorgio Metta, Lorenzo Natale, Francesco Nori, Giulio Sandini, David Vernon, Lu- ciano Fadiga, Claes von Hofsten, Kerstin Rosander, Manuel Lopes, Jos ́e Santos-Victor, Alexandre Bernardino, and Luis Montesano. “The iCub humanoid robot: An open- systems platform for research in cognitive development“. In: Neural Networks (2010).

Pierre-Yves Oudeyer. “On the impact of robotics in behavioral and cognitive sci- ences: from insect navigation to human cognitive development“. English. In: IEEE Transactions on Autonomous Mental Development 2.1 (2010), pp. 2–16.

* Raphael Laurent, Clement Moulin-Frier, Pierre Bessiere, Jean-Luc Schwartz, and Julien Diard. “Integrate, yes, but what and how? A computational approach of perceptuo-motor fusion in speech perception.” In: Behavioral and Brain Sciences (commentaries) (2013). Accepted commentary in Behavioral and Brain Sciences, in Press.

Clement Moulin-Frier and Pierre-Yves Oudeyer. “Curiosity-driven phonetic learning“. Anglais. In: ICDL-Epirob – International Conference on Development and Learn- ing, Epirob. San Diego, E ́tats-Unis, Nov. 2012.

Stulp, F. and Oudeyer, P-Y. (in press) Adaptive Exploration through Covariance Matrix Adaptation Enables Developmental Motor Learning, Paladyn Journal of Behavioural Robotics. [Bibtex] [Details]

Stulp, F., Oudeyer, P-Y. (2012) Emergent Proximo-Distal Maturation with Adaptive Exploration, in Proceedings of IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-Epirob), San Diego, USA. [slides]

Frederic Kaplan and Pierre-Yves Oudeyer. “Stable kernels and fluid body envelopes“. In: sice journal of control, measurement, and system integration (2009).

Frederic Kaplan, Pierre-Yves Oudeyer, and Benjamin Bergen. “Computational Models in the Debate over Language Learnability“. In: Infant and Child Devel- opment 17.1 (2008), pp. 55–80.

* Clement Moulin-Frier, Raphael Laurent, Pierre Bessiere, Jean-Luc Schwartz, and Julien Diard. “Adverse conditions improve distinguishability of auditory, motor and percep-tuo-motor theories of speech perception: an exploratory Bayesian modeling study“. English. In: Language and Cognitive Processes 27.7-8 Special Issue: Speech Recognition in Adverse Conditions (2012), pp. 1240–1263.

* Manuel Lopes, Alexandre Bernardino, Jose Santos-Victor, Claes von Hofsten, and Kerstin Rosander. “Biomimetic Eye-Neck Coordination“. In: IEEE – International Conference on Development and Learning (ICDL’09). Shanghai, China, 2009.

* A Computational Model of Social-Learning Mechanisms, Manuel Lopes, Francisco S. Melo, Ben Kenward and José Santos-Victor. Adaptive Behavior, 467(17), 2009. (pdf)

* Kaplan F. and Oudeyer P-Y. (2007) In search of the neural circuits of intrinsic motivation, Frontiers in Neuroscience, 1(1), pp.225–236.

* Kaplan, F. and Oudeyer, P-Y. (2007) The progress-drive hypothesis: an interpretation of early imitation. In Dautenhahn, K. and Nehaniv, C., editor, Models and mechanisms of imitation and social learning: Behavioural, social and communication dimensions, pp. 361–377, Cambridge University Press.

* Oudeyer, P-Y. (2006) Self-Organization in the Evolution of Speech, Studies in the Evolution of Language, Oxford University Press.

Pierre-Yves Oudeyer. “On the impact of robotics in behavioral and cognitive sciences: from insect navigation to human cognitive development“. English. In: IEEE Transactions on Autonomous Mental Development 2.1 (2010), pp. 2–16.

Frederic Kaplan and Pierre-Yves Oudeyer. “Stable kernels and fluid body envelopes“. In: sice journal of control, measurement, and system integration (2009).

Kaplan, F., Oudeyer, P-Y. (2008) Le corps comme variable expérimentale, Revue Philosophique de la France et de l’Etranger, pp. 287–298.