J. Piaget, La construction du réel chez l'enfant. Delachaux and Niestlé, 1937.

A. Cangelosi, M. Schlesinger, and L. B. Smith, Developmental robotics: From babies to robots, 2015.
DOI : 10.7551/mitpress/9320.001.0001

P. Savastano and S. Nolfi, A Robotic Model of Reaching and Grasping Development, IEEE Transactions on Autonomous Mental Development, vol.5, issue.4, pp.326-336, 2013.
DOI : 10.1109/TAMD.2013.2264321

P. Oudeyer and F. Kaplan, What is intrinsic motivation? A typology of computational approaches, Frontiers in Neurorobotics, vol.1, 2007.
DOI : 10.3389/neuro.12.006.2007

R. C. Arkin, Motor Schema ??? Based Mobile Robot Navigation, The International Journal of Robotics Research, vol.32, issue.4, pp.92-112, 1989.
DOI : 10.1093/brain/34.2-3.102

C. Moulin-frier and P. Oudeyer, The role of intrinsic motivations in learning sensorimotor vocal mappings: A developmental robotics study, IN- TERSPEECH 2013, 14th Annual Conference of the International Speech Communication Association, pp.1268-1272, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00860655

A. Cangelosi, G. Metta, G. Sagerer, S. Nolfi, C. Nehaniv et al., Integration of Action and Language Knowledge: A Roadmap for Developmental Robotics, IEEE Transactions on Autonomous Mental Development, vol.2, issue.3, pp.167-195, 2010.
DOI : 10.1109/TAMD.2010.2053034

A. Cully, J. Clune, D. Tarapore, and J. Mouret, Robots that can adapt like animals, Nature, vol.26, issue.7553, pp.503-507, 2015.
DOI : 10.1038/nrn2332

URL : https://hal.archives-ouvertes.fr/hal-01158243

F. Guerin, Learning like a baby: a survey of artificial intelligence approaches, The Knowledge Engineering Review, vol.15, issue.02, pp.209-236, 2011.
DOI : 10.1016/S0378-4754(97)00057-8

S. Harnad, The symbol grounding problem, Physica D: Nonlinear Phenomena, vol.42, issue.1-3, pp.335-346, 1990.
DOI : 10.1016/0167-2789(90)90087-6

T. Ziemke, The construction of 'reality' in the robot: Constructivist perspectives on situated artificial intelligence and adaptive robotics, Foundations of Science, vol.6, issue.1/3, pp.163-233, 2001.
DOI : 10.1023/A:1011394317088

S. Mazac, F. Armetta, and S. Hassas, On Bootstrapping Sensori-Motor Patterns for a Constructivist Learning System in Continuous Environments, Artificial Life 14: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems, 2014.
DOI : 10.7551/978-0-262-32621-6-ch028

URL : https://hal.archives-ouvertes.fr/hal-01135987

J. K. O-'regan and A. Noë, A sensorimotor account of vision and visual consciousness, Behavioral and Brain Sciences, vol.24, issue.05, pp.939-97331, 2001.
DOI : 10.1017/S0140525X01000115

A. Pitti, H. Mori, S. Kouzuma, and Y. Kuniyoshi, Contingency Perception and Agency Measure in Visuo-Motor Spiking Neural Networks, IEEE Transactions on Autonomous Mental Development, vol.1, issue.1, pp.86-97, 2009.
DOI : 10.1109/TAMD.2009.2021506

URL : https://hal.archives-ouvertes.fr/hal-00737325

G. L. Drescher, Made-up minds: A constructivist approach to artificial intelligence, 1991.

F. Guerin and D. M. Holmes, A piagetian model of early sensorimotor development Schema learning: Experiencebased construction of predictive action models, Proceedings from Epigenetic Robotics Advances in Neural Information Processing Systems, pp.585-592, 2005.

O. L. Georgeon, A. Mille, A. Cordier, A. Kong-win-chang, J. Garnier et al., Implementation of DEvelopmentAl learning (IDEAL) course, Implementation of DEvelopmentAl Learning (IDEAL) MOOC, 2017.

O. L. Georgeon and A. Cordier, Inverting the Interaction Cycle to Model Embodied Agents, Procedia Computer Science, vol.41, pp.243-248, 2014.
DOI : 10.1016/j.procs.2014.11.109

URL : https://hal.archives-ouvertes.fr/hal-01131263