Major publications by the team in recent years
  • 1A. Baranes, P.-Y. Oudeyer.

    RIAC: Robust Intrinsically Motivated Exploration and Active Learning, in: IEEE Trans. on Auto. Ment. Dev., 2009, vol. 1, no 3, p. 155-169.
  • 2J. Buchli, F. Stulp, E. Theodorou, S. Schaal.

    Learning Variable Impedance Control, in: International Journal of Robotics Research, 2011, vol. 30, no 7, p. 820-833.

  • 3T. Degris, O. Sigaud, S. Wiener, A. Arleo.

    Rapid Response of Head Direction Cells to Reorienting Visual Cues: a Computational Model, in: Neurocomputing, 2004, vol. 58, p. 675–682.
  • 4T. Degris, O. Sigaud, P. Wuillemin.

    Learning the Structure of Factored Markov Decision Processes in Reinforcement Learning Problems, in: Proceedings of the 23rd International Conference on Machine learning (ICML), 2006, p. 257–264.
  • 5A. Gepperth, S. Rebhan, S. Hasler, J. Fritsch.

    Biased competition in visual processing hierarchies: a learning approach using multiple cues, in: Cognitive Computation, March 2011, vol. 3, no 1.

  • 6M. Lopes, T. Cederborg, P.-Y. Oudeyer.

    Simultaneous Acquisition of Task and Feedback Models, in: Development and Learning (ICDL), 2011 IEEE International Conference on, Germany, 2011, p. 1 - 7. [ DOI : 10.1109/DEVLRN.2011.6037359 ]

  • 7M. Lopes, F. Melo, L. Montesano.

    Active learning for reward estimation in inverse reinforcement learning, in: Machine Learning and Knowledge Discovery in Databases, 2009, p. 31–46.
  • 8L. Montesano, M. Lopes, A. Bernardino, J. Santos-Victor.

    Learning Object Affordances: From Sensory–Motor Coordination to Imitation, in: Robotics, IEEE Transactions on, 2008, vol. 24, no 1, p. 15–26.
  • 9P.-Y. Oudeyer, F. Kaplan, V. Hafner.

    Intrinsic Motivation Systems for Autonomous Mental Development, in: IEEE Transactions on Evolutionary Computation, 2007, vol. 11, no 1, p. 265–286.
  • 10P.-Y. Oudeyer.

    Self-Organization in the Evolution of Speech, Studies in the Evolution of Language, Oxford University Press, 2006.
  • 11P.-Y. 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, 2010, vol. 2, no 1, p. 2–16.

  • 12F. Stulp, S. Schaal.

    Hierarchical Reinforcement Learning with Motion Primitives, in: 11th IEEE-RAS International Conference on Humanoid Robots, 2011.
Publications of the year

Doctoral Dissertations and Habilitation Theses

  • 13A. Baranes.

    Motivations Intrinsèques et Contraintes Maturationnelles pour l'Apprentissage Sensorimoteur, Université Bordeaux I/INRIA, December 2011, Thèse de Doctorat de Adrien Baranès.

  • 14D. Filliat.

    Navigation, perception et apprentissage pour la robotique, Université Pierre et Marie Curie - Paris VI, July 2011, Habilitation à Diriger des Recherches.

  • 15P.-Y. Oudeyer.

    Developmental constraints on the evolution and acquisition of sensorimotor and social skills, Université Bordeaux I/INRIA, 2011, Habilitation à diriger des recherches.


Articles in International Peer-Reviewed Journal

  • 16L. Montesano, M. Lopes.

    Active learning of visual descriptors for grasping using non-parametric smoothed beta distributions, in: Robotics and Autonomous Systems, 2011, p. 26-AUG-2011. [ DOI : 10.1016/j.robot.2011.07.013 ]


International Conferences with Proceedings

  • 17A. Baranes, P.-Y. Oudeyer.

    The Interaction of Maturational Constraints and Intrinsic Motivations in Active Motor Development, in: ICDL - EpiRob, Frankfurt, Germany, August 2011.

  • 18E. Battesti, S. Bazeille, D. Filliat.

    Qualitative localization using vision and odometry for path following in topo-metric maps, in: European Conference on Mobile Robotics (ECMR), Sweden, 2011, p. 303-308.

  • 19S. Bazeille, D. Filliat.

    Incremental topo-metric SLAM using vision and robot odometry, in: Proceedings of the International Conference on Robotics and Automation (ICRA), China, 2011, p. 4067 - 4073.

  • 20F. Benureau, P.-Y. Oudeyer.

    Intrisically Motivated Goal Space Creation for Autonomous Goal-Directed Exploration in High-Dimensional Unbounded Sensorimotor Spaces, in: IEEE ICDL-EPIROB 2011, Frankfurt am Main, Germany, July 2011. [ DOI : 10.3389/conf.fncom.2011.52.00032 ]

  • 21T. Cederborg, P.-Y. Oudeyer.

    Imitating Operations On Internal Cognitive Structures for Language Aquisition, in: HUMANOIDS, Bled, Slovenia, 2011.

  • 22I. Jebari, S. Bazeille, E. Battesti, H. Tekaya, M. Klein, A. Tapus, D. Filliat, C. Meyer, S.-H. Ieng, R. Benosman, E. Cizeron, J.-C. Mamanna, B. Pothier.

    Multi-sensor semantic mapping and exploration of indoor environments, in: 3rd International Conference on Technologies for Practical Robot Applications (TePRA), United States, 2011, p. 151 - 156.

  • 23M. Lapeyre, O. Ly, P.-Y. Oudeyer.

    Maturational constraints for motor learning in high-dimensions: the case of biped walking, in: HUMANOIDS 2011, Bled, Slovenia, October 2011.

  • 24M. Lopes, T. Cederborg, P.-Y. Oudeyer.

    Simultaneous Acquisition of Task and Feedback Models, in: Development and Learning (ICDL), 2011 IEEE International Conference on, Germany, 2011, p. 1 - 7. [ DOI : 10.1109/DEVLRN.2011.6037359 ]

  • 25O. Ly, M. Lapeyre, P.-Y. Oudeyer.

    Bio-inspired vertebral column, compliance and semi-passive dynamics in a lightweight robot, in: IEEE IROS, San Francisco, United States, 2011.

  • 26M. Mason, M. Lopes.

    Robot Self-Initiative and Personalization by Learning through Repeated Interactions, in: 6th ACM/IEEE International Conference on Human-Robot, Switzerland, 2011. [ DOI : 10.1145/1957656.1957814 ]

  • 28P.-Y. Oudeyer, O. Ly, P. 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.

  • 29P. Rouanet, F. Danieau, P.-Y. Oudeyer.

    A Robotic Game to Evaluate Interfaces used to Show and Teach Visual Objects to a Robot in Real World Condition, in: ACM/IEEE Human-Robot Interaction HRI 2011 conference, Lausanne, Switzerland, March 2011.


Conferences without Proceedings

  • 30O. Mangin, P.-Y. Oudeyer.

    Unsupervised learning of simultaneous motor primitives through imitation, in: IEEE ICDL-EPIROB 2011, Frankfurt, Germany, August 2011.

  • 31S. M. Nguyen, A. Baranes, P.-Y. Oudeyer.

    Constraining the Size Growth of the Task Space with Socially Guided Intrinsic Motivation using Demonstrations., in: IJCAI Workshop on Agents Learning Interactively from Human Teachers (ALIHT), Barcelona, Spain, 2011.


Scientific Books (or Scientific Book chapters)

  • 32P.-Y. Oudeyer.

    Developmental Robotics, in: Encyclopedia of the Sciences of Learning, N. Seel (editor), Springer Reference Series, Springer, 2011.


Other Publications

  • 33D. Martin-Guillerez.

    Documentation of the demonstration that transfers user movements from the Kinect sensor to the Acroban robot, INRIA, Bordeaux Sud-Ouest.

References in notes
  • 34L. Steels, R. Brooks (editors)

    The Artificial Life Route to Artificial Intelligence: Building Embodied, Situated Agents, L. Erlbaum Associates Inc., Hillsdale, NJ, USA, 1995.
  • 35B. Argall, S. Chernova, M. Veloso.

    A Survey of Robot Learning from Demonstration, in: Robotics and Autonomous Systems, 2009, vol. 57, no 5, p. 469–483.
  • 36M. Asada, S. Noda, S. Tawaratsumida, K. Hosoda.

    Purposive Behavior Acquisition On A Real Robot By Vision-Based Reinforcement Learning, in: Machine Learning, 1996, vol. 23, p. 279-303.
  • 37A. Barto, S. Singh, N. Chentanez.

    Intrinsically Motivated Learning of Hierarchical Collections of Skills, in: Proceedings of the 3rd International Conference on Development and Learning (ICDL 2004), Salk Institute, San Diego, 2004.
  • 38D. Berlyne.

    Conflict, Arousal and Curiosity, McGraw-Hill, 1960.
  • 39C. Breazeal.

    Designing sociable robots, The MIT Press, 2004.
  • 40R. Brooks, C. Breazeal, R. Irie, C. C. Kemp, B. Scassellati, M. Williamson.

    Alternative essences of intelligence, in: Proceedings of 15th National Conference on Artificial Intelligence (AAAI-98, AAAI Press, 1998, p. 961–968.
  • 41M. Cakmak, M. Lopes.

    Eliciting Optimal Teaching from Humans on Sequential Decision Tasks, in: (under review), 2012.
  • 42A. Clark.

    Mindware: An Introduction to the Philosophy of Cognitive Science, Oxford University Press, 2001.
  • 43D. Cohn, Z. Ghahramani, M. Jordan.

    Active learning with statistical models, in: Journal of artificial intelligence research, 1996, vol. 4, p. 129–145.
  • 44W. Croft, D. Cruse.

    Cognitive Linguistics, Cambridge Textbooks in Linguistics, Cambridge University Press, 2004.
  • 45M. Csikszenthmihalyi.

    Flow-the psychology of optimal experience, Harper Perennial, 1991.
  • 46P. Dayan, W. Belleine.

    Reward, motivation and reinforcement learning, in: Neuron, 2002, vol. 36, p. 285–298.
  • 47E. Deci, R. Ryan.

    Intrinsic Motivation and Self-Determination in Human Behavior, Plenum Press, 1985.
  • 48J. Elman.

    Learning and development in neural networks: The importance of starting small, in: Cognition, 1993, vol. 48, p. 71–99.
  • 49S. Harnad.

    The symbol grounding problem, in: Physica D, 1990, vol. 40, p. 335–346.
  • 50M. Hasenjager, H. Ritter.

    Active learning in neural networks, Physica-Verlag GmbH, Heidelberg, Germany, Germany, 2002.
  • 51J. Haugeland.

    Artificial Intelligence: the very idea, The MIT Press, Cambridge, MA, USA, 1985.
  • 52J.-C. Horvitz.

    Mesolimbocortical and nigrostriatal dopamine responses to salient non-reward events, in: Neuroscience, 2000, vol. 96, no 4, p. 651-656.
  • 53X. Huang, J. Weng.

    Novelty and reinforcement learning in the value system of developmental robots, in: Proceedings of the 2nd international workshop on Epigenetic Robotics : Modeling cognitive development in robotic systems, C. Prince, Y. Demiris, Y. Marom, H. Kozima, C. Balkenius (editors), Lund University Cognitive Studies 94, 2002, p. 47–55.
  • 54M. Johnson.

    Developmental Cognitive Neuroscience, 2nd, Blackwell publishing, 2005.
  • 55W. B. Knox, P. Stone.

    Combining manual feedback with subsequent MDP reward signals for reinforcement learning, in: Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS'10), 2010, p. 5–12.
  • 56M. Lungarella, G. Metta, R. Pfeifer, G. Sandini.

    Developmental Robotics: A Survey, in: Connection Science, 2003, vol. 15, no 4, p. 151-190.
  • 57J. Marshall, D. Blank, L. Meeden.

    An Emergent Framework for Self-Motivation in Developmental Robotics, in: Proceedings of the 3rd International Conference on Development and Learning (ICDL 2004), Salk Institute, San Diego, 2004.
  • 58P. Miller.

    Theories of developmental psychology., 4th, New York: Worth, 2001.
  • 59P.-Y. Oudeyer, F. Kaplan.

    Intelligent adaptive curiosity: a source of self-development, in: Proceedings of the 4th International Workshop on Epigenetic Robotics, L. Berthouze, H. Kozima, C. Prince, G. Sandini, G. Stojanov, G. Metta, C. Balkenius (editors), Lund University Cognitive Studies, 2004, vol. 117, p. 127–130.
  • 60P.-Y. Oudeyer, F. Kaplan.

    What is intrinsic motivation? A typology of computational approaches, in: Frontiers in Neurorobotics, 2007, vol. 1, no 1.
  • 61P.-Y. Oudeyer.

    Sur les interactions entre la robotique et les sciences de l'esprit et du comportement, in: Informatique et Sciences Cognitives : influences ou confluences ?, C. Garbay, D. Kaiser (editors), Presses Universitaires de France, 2009.

  • 62P.-Y. Oudeyer.

    L'auto-organisation dans l'évolution de la parole, in: Parole et Musique: Aux origines du dialogue humain, Colloque annuel du Collège de France, S. Dehaene, C. Petit (editors), Odile Jacob, 2009, p. 83-112.

  • 63A. Revel, J. Nadel.

    How to build an imitator?, in: Imitation and Social Learning in Robots, Humans and Animals: Behavioural, Social and Communicative Dimensions, K. Dautenhahn, C. Nehaniv (editors), Cambridge University Press, 2004.
  • 64T. Schatz, P.-Y. 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.

  • 65M. Schembri, M. Mirolli, G. Baldassarre.

    Evolving internal reinforcers for an intrinsically motivated reinforcement-learning robot, in: IEEE 6th International Conference on Development and Learning, 2007. ICDL 2007., July 2007, p. 282-287.

  • 66J. Schmidhuber.

    Curious Model-Building Control Systems, in: Proceedings of the International Joint Conference on Neural Networks, Singapore, IEEE press, 1991, vol. 2, p. 1458–1463.
  • 67W. Schultz, P. Dayan, P. Montague.

    A neural substrate of prediction and reward, in: Science, 1997, vol. 275, p. 1593-1599.
  • 68J. Sprauel, M. Lopes.

    Inverse Coordinated Reinforcement Learning, in: (under review), 2012.
  • 69E. Thelen, L. B. Smith.

    A dynamic systems approach to the development of cognition and action, MIT Press, Cambridge, MA, 1994.
  • 70A. L. Thomaz, C. Breazeal.

    Teachable robots: Understanding human teaching behavior to build more effective robot learners, in: Artificial Intelligence Journal, 2008, vol. 172, p. 716-737.
  • 71A. Turing.

    Computing machinery and intelligence, in: Mind, 1950, vol. 59, p. 433-460.
  • 72F. Varela, E. Thompson, E. Rosch.

    The embodied mind : Cognitive science and human experience, MIT Press, Cambridge, MA, 1991.
  • 73J. Weng, J. McClelland, A. Pentland, O. Sporns, I. Stockman, M. Sur, E. Thelen.

    Autonomous mental development by robots and animals, in: Science, 2001, vol. 291, p. 599-600.