execution enparalì ele des deux stratégies de navigation, il restè a résoudre la question de la resynchronisation des dynamiques temporelles Je propose dans la section suivante un mécanisme de " chunking " qui permet au robot de resynchroniser la séquence de ses déplacements par rapportàrapportà la détection d'´ evénement complexe ,
une séquence présente dans une mémoirè a court terme en une seule unité Ici un chunk représente une sous séquence. Par exemple, considérons une série de chiffre On a ici une séquence de chiffre qui n'est pas forcément simple de mémoriser. Maintenant, représentons cette série d'unemanì ere différente : " 07 45 26 19 98 " . En regroupant deuxàdeuxà deux les chiffres, on obtient alors des nombres un peu plus simplè a retenir. Ceci est surtout dû au fait que la séquence n'est plus une série de dix chiffres mais de cinq nombres. Ce regroupement de deux chiffres en un seul nombre correspond au processus de " chunking " et chaque nombre est alors un chunk. Dans [Grossberg, 1999], l'auteur utilise ce mécanisme pour encoder une sous-séquence d'entrées auditives présente en mémoirè a court terme, 1974. ,
un chunk code soit un sous ensemble d'´ etats d'une séquence, soit un sous ensemble de points d'intérêt. On peut alors définir un chunk comme une unité codant une situationparticulì ere dans un comportement global ,
En utilisant la stratégie d'associations lieux-mouvements, le robot navigue de lieux en lieux en appliquant les commandes motrices qui y sont associées. Ces informations sont alors toutàtoutà fait pertinentes pour Références [Albus, 1975] Albus A new approach to manipulator control : the cerebellar model articulation controller (cmac, J. S. Journal of Dynamic Systems, Measurement, and Control, vol.97, pp.220-227, 1975. ,
Dynamics of pattern formation in lateral-inhibition type neural fields, Biological Cybernetics, vol.13, issue.2, pp.77-87, 1977. ,
DOI : 10.1007/BF00337259
Thèse : Apprentissage et interactions via imitation : application d'une approche développementalè a la robotique autonome, 2002. ,
Thèse : Apprentissage et interactions via imitation : application d'une approche développementalè a la robotique autonome, Thèse de doctorat, 2002. ,
From visuo-motor coordination to imitation : an autonomous robot perspective, Workshop on Dynamic Motor representations, 2002. ,
An Introduction to Dynamical Systems, 1990. ,
Apprentissage non supervisé d'association visuo-motrices pour un robot autonome, 2007. ,
Robot see, robot do : An overview of robot imitation, AISB96 Workshop on Learning in Robots and Animals, pp.3-11, 1996. ,
Social learning theory of identificatory processes. Handbook of socialization theory and research, pp.213-262, 1969. ,
Psychological Modeling : Conflicting Theories, 1971. ,
Space-time, order, and hierarchy in fronto-hippocampal system : A neural basis of personality Cognitive Science Perspectives on Personality and Emotion, pp.123-189, 1997. ,
The GENESIS 3.0 Project: a universal graphical user interface and database for research, collaboration, and education in computational neuroscience, BMC Neuroscience, vol.8, issue.Suppl 2, 2007. ,
DOI : 10.1186/1471-2202-8-S2-P4
On the dynamics of a continuous hopfield neuron with selfconnection, 1994. ,
A Neural Model for Context-dependent Sequence Learning, Neural Processing Letters, vol.5, issue.3, pp.27-45, 2006. ,
DOI : 10.1007/s11063-005-2838-x
Experiments on human-robot communication with robota, an imitative learning and communicating robot, Proceedings of " Socially Situated intelligence " Workshop, part of the Fifth International Conference on Simulation of Adaptive Behavior, 1998. ,
What should be taught first : the emotional expression or the face ?, 8th International conference on Epigenetic Robotics, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-00522705
A robust layered control system for a mobile robot, IEEE Journal on Robotics and Automation, vol.2, issue.1, pp.14-23, 1986. ,
DOI : 10.1109/JRA.1986.1087032
Chapter 11 Vite and Flete: Neural Modules for Trajectory Formation and Postural Control, 1989. ,
DOI : 10.1016/S0166-4115(08)61915-9
Neural Network Model of the Cerebellum: Temporal Discrimination and the Timing of Motor Responses, Neural Computation, vol.9, issue.4, pp.38-55, 1994. ,
DOI : 10.1111/j.1749-6632.1991.tb25933.x
Learning by imitation : a hierarchical approach, Behavioral and Brain Science, vol.21, pp.667-721, 1998. ,
What is the teacher's role in robot programming by demonstration ? -toward benchmarks for improved learning, In Interaction Studies. Special Issue on Psychological Benchmarks in Human-Robot Interaction, vol.8, 2007. ,
Active Teaching in Robot Programming by Demonstration, RO-MAN 2007, The 16th IEEE International Symposium on Robot and Human Interactive Communication, pp.702-707, 2007. ,
DOI : 10.1109/ROMAN.2007.4415177
Visual servo control. I. Basic approaches, IEEE Robotics & Automation Magazine, vol.13, issue.4, pp.82-90, 2006. ,
DOI : 10.1109/MRA.2006.250573
Visual servo control. II. Advanced approaches [Tutorial], IEEE Robotics & Automation Magazine, vol.14, issue.1, pp.109-118, 2007. ,
DOI : 10.1109/MRA.2007.339609
Complex continuous meaningful humanoid interaction: a multi sensory-cue based approach, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065), pp.2235-2242, 2000. ,
DOI : 10.1109/ROBOT.2000.846360
Attention and structure in sequence learning., Journal of Experimental Psychology: Learning, Memory, and Cognition, vol.16, issue.1, pp.17-30, 1990. ,
DOI : 10.1037/0278-7393.16.1.17
Thèse : Navigation autonome bio-inspirée en environnement intérieur et extérieur : Apprentissages sensori-moteurs et planification dans un cadre interaction, 2007. ,
Human-Robot Interactions as a Cognitive Catalyst for the Learning of Behavioral Attractors, RO-MAN 2007, The 16th IEEE International Symposium on Robot and Human Interactive Communication, pp.1028-1033, 2007. ,
DOI : 10.1109/ROMAN.2007.4415233
Interactive Teaching for Vision-Based Mobile Robots: A Sensory-Motor Approach, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, vol.40, issue.1, 2008. ,
DOI : 10.1109/TSMCA.2009.2033029
Robustness of Visual Place Cells in Dynamic Indoor and Outdoor Environment, International Journal of Advanced Robotic Systems, vol.55, issue.4, pp.115-124, 2006. ,
DOI : 10.5772/5748
Intégration de la navigation et de la sélection de l'action dans une architecture de contrôle inspirée des ganglions de la base, Thèse de doctorat, 2003. ,
Comparing a bio-inspired robot action selection mechanism with winner-takes-all, 2002. ,
URL : https://hal.archives-ouvertes.fr/hal-00016405
Integration of Navigation and Action Selection Functionalities in a Computational Model of Cortico-Basal-Ganglia-Thalamo-Cortical Loops, Adaptive Behavior, vol.13, issue.2, pp.115-130, 2005. ,
DOI : 10.1177/105971230501300204
URL : https://hal.archives-ouvertes.fr/hal-00016389
How hallucinations may arise from brain mechanisms of learning, attention, and volition, Journal of the International Neuropsychological Society, vol.6, issue.5, pp.579-588, 1999. ,
DOI : 10.1017/S135561770065508X
Frustration as a generical regulatory mechanism for motivated navigation, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010. ,
DOI : 10.1109/IROS.2010.5653594
URL : https://hal.archives-ouvertes.fr/hal-00538407
A robot controller using learning by imitation, editeurs : Proceedings o the second international symposium on intelligent robotic systems, pp.198-204, 1994. ,
A biologically-inspired model of reaching movements, Proceedings of the First IEEE, pp.1067-1072, 2006. ,
Causes and consequences of imitation, Trends in Cognitive Sciences, vol.5, issue.6, pp.253-261, 2001. ,
DOI : 10.1016/S1364-6613(00)01661-2
Real time control of a robot with a mobile camera, 9th International Symposium on Industrial Robot, pp.233-246, 1979. ,
Neurons with graded response have collective computational properties like those of two-state neurons., Proceedings of the National Academy of Sciences, pp.3088-3092, 1984. ,
DOI : 10.1073/pnas.81.10.3088
Binocular interaction in striate cortex of kittens reared with artificial squint, Neurophysiology, issue.6, pp.281041-1059, 1965. ,
A tutorial on visual servo control, IEEE Transactions on Robotics and Automation, vol.12, issue.5, pp.651-670, 1996. ,
DOI : 10.1109/70.538972
Learning Attractor Landscapes for Learning Motor Primitives, Advances in Neural Information Processing Systems 15 (NIPS2002), pp.1547-1554, 2002. ,
Movement imitation with nonlinear dynamical systems in humanoid robots, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292), pp.1398-1403, 2002. ,
DOI : 10.1109/ROBOT.2002.1014739
learning attractor landscapes for learning motor primitives, advances in neural information processing systems 15, pp.1547-1554, 2003. ,
Dynamical Systems Approach for the Autonomous Avoidance of Obstacles and Joint-limits for an Redundant Robot Arm, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.580-585, 2006. ,
DOI : 10.1109/IROS.2006.282468
Joint attention between a humanoid robot and users in imitation game, 3rd Int. Conf. on Development and Learning Procee- dings, 2004. ,
The cerebellum and event timing. The Cerebellum : Recent Developments in Cerebellar Research, pp.302-317, 2002. ,
The " echo state " approach to analysing and training recurrent neural networks, GMD Report, vol.148, 2001. ,
Games children with autism can play with robota a humanoid robotic, chapitre 18, 2002. ,
Actor-Critic Models of Reinforcement Learning in the Basal Ganglia: From Natural to Artificial Rats, Adaptive Behavior, vol.13, issue.2, pp.131-148, 2005. ,
DOI : 10.1177/105971230501300205
URL : https://hal.archives-ouvertes.fr/hal-00016390
Combining Self-organizing Maps with Mixtures of Experts: Application to an Actor-Critic Model of Reinforcement Learning in the Basal Ganglia, From Animals to Animats : Proceedings of the 9th International Conference on the Simulation of Adaptive Behavior (SAB), pp.394-405, 2006. ,
DOI : 10.1007/11840541_33
URL : https://hal.archives-ouvertes.fr/hal-00688933
Place cells, head direction cells, and the learning of landmark stability, Journal of Neuroscience, vol.15, pp.1648-1659, 1995. ,
Survey on visual servoing for manipulation. Rapport technique, Computational vision and active perception la- boratory, 2002. ,
Chaotic attitude motion of satellites under small perturbation torques. Sound and Vibration, pp.175-200, 2000. ,
Learning by watching: extracting reusable task knowledge from visual observation of human performance, IEEE Transactions on Robotics and Automation, vol.10, issue.6, pp.799-822, 1994. ,
DOI : 10.1109/70.338535
The science of imitation -towards physically and socially grounded intelligence. Special Issue TR-94001, Real World Computing Project Joint Symposium, 1994. ,
INFANT neural controller for adaptive sensory-motor coordination, Neural Networks, vol.4, issue.2, pp.131-145, 1991. ,
DOI : 10.1016/0893-6080(91)90001-L
Aspirin/migraines, 1994. ,
Application of chaotic dynamics in a recurrent neural network to control: hardware implementation into a novel autonomous roving robot, Biological Cybernetics, vol.408, issue.5, pp.185-196, 2008. ,
DOI : 10.1007/s00422-008-0249-6
Acquiring and maintaining abstract landmark chunks for cognitive robot navigation, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.3770-3775, 2005. ,
DOI : 10.1109/IROS.2005.1545556
Reservoir computing approaches to recurrent neural network training, Computer Science Review, vol.3, issue.3, pp.127-149, 2009. ,
DOI : 10.1016/j.cosrev.2009.03.005
Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations, Neural Computation, vol.7, issue.11, pp.142531-2560, 2002. ,
DOI : 10.1038/35009102
Forced simple recurrent neural networks and grammatical inference, Proc. the Fifteenth Annual Conference of the Cognitive Science Society, pp.420-425, 1993. ,
Subcortical loops through the basal ganglia, Trends in Neurosciences, vol.28, issue.8, pp.28401-407, 2005. ,
DOI : 10.1016/j.tins.2005.06.006
URL : https://hal.archives-ouvertes.fr/inserm-00411012
What imitation tells us about social cognition: a rapprochement between developmental psychology and cognitive neuroscience, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.358, issue.1431, pp.358491-500, 1431. ,
DOI : 10.1098/rstb.2002.1261
Imitation of facial and manual gestures by human neonates, Science, issue.4312, pp.19875-78, 1977. ,
Map-based navigation in mobile robots:, Cognitive Systems Research, vol.4, issue.4, pp.283-317, 2003. ,
DOI : 10.1016/S1389-0417(03)00007-X
URL : https://hal.archives-ouvertes.fr/hal-00655473
Imiter : une nouvelle voie pour l'apprentissage de robots autonomes, Thèse de doctorat, 2001. ,
A neuronal structure for learning by imitation, editeurs : Lecture Notes in Artificial Intelligence -European Conference on Artificial Lif e ECAL99, pp.314-318, 1999. ,
Head direction cells: properties and functional significance, Current Opinion in Neurobiology, vol.6, issue.2, pp.196-206, 1996. ,
DOI : 10.1016/S0959-4388(96)80073-0
Robot programming by demonstration (rpd) -using machine learning and user interaction methods for the development of easy and comfortable robot programming systems, Proceedings of the 24th International Symposium on Industrial Robots, pp.685-693, 1994. ,
Imitation et communication entre jeunes enfants, 1986. ,
Imitez, imitez, il en restera toujours quelque chose??: le statut d??veloppemental de l'imitation dans le cas d'autisme, Enfance, vol.54, issue.1, pp.76-85, 2002. ,
DOI : 10.3917/enf.541.0076
The correspondence problem, pp.41-61, 2002. ,
The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat, Brain Research, vol.34, issue.1, pp.171-175, 1971. ,
DOI : 10.1016/0006-8993(71)90358-1
Incremental Learning of Tasks From User Demonstrations, Past Experiences, and Vocal Comments, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.37, issue.2, pp.322-332, 2007. ,
DOI : 10.1109/TSMCB.2006.886951
Towards life-long learning in household robots: The Piagetian approach, 2007 IEEE 6th International Conference on Development and Learning, 2007. ,
DOI : 10.1109/DEVLRN.2007.4354042
Hippocampal lesions disrupt navigation based on cognitive maps but not heading vectors, pp.75-77, 1998. ,
La formalisation du symbole chez l'enfant. Imitation, jeu et rêve, Image et représentation. Neuchatel, 1945. ,
Structuralism, p.153, 1970. ,
Recursive distributed representations, Artificial Intelligence, vol.46, issue.1-2, pp.77-105, 1990. ,
DOI : 10.1016/0004-3702(90)90005-K
Learning and control with chaos: From biology to robotics, Behavioral and Brain Sciences, vol.24, issue.05, pp.24824-825, 2001. ,
DOI : 10.1017/S0140525X01380093
Parallelization of Neural Networks Using PVM, Lecture Notes in Computer Science, pp.289-296, 1908. ,
DOI : 10.1007/3-540-45255-9_40
URL : https://hal.archives-ouvertes.fr/hal-00426248
Premotor cortex and the recognition of motor actions, Cognitive Brain Research, vol.3, issue.2, pp.131-141, 1996. ,
DOI : 10.1016/0926-6410(95)00038-0
Imitation and suggestion in animals. bulletin of animal behaviour, pp.11-19, 1941. ,
Is imitation learning the route to humanoid robots ? Trends in cognitive sciences, pp.232-242, 1999. ,
Dynamics systems vs. optimal control ??? a unifying view, pp.425-445, 2007. ,
DOI : 10.1016/S0079-6123(06)65027-9
real-time statistical learning for robotics and human augmentation, international symposium on robotics research, 2001. ,
Dynamics of behavior: Theory and applications for autonomous robot architectures, Robotics and Autonomous Systems, vol.16, issue.2-4, pp.213-245, 1995. ,
DOI : 10.1016/0921-8890(95)00049-6
Quantitative Analysis of a Schaffer Collateral Model, pp.257-272, 2000. ,
DOI : 10.1017/CBO9780511665516.019
Predictive reward signal of dopamine neurons, J Neurophysiol, vol.80, issue.1, pp.1-27, 1998. ,
Learning sequential structure in simple recurrent networks, pp.643-652, 1989. ,
Coordinated Interactions between Hippocampal Ripples and Cortical Spindles during Slow-Wave Sleep, Neuron, vol.21, issue.5, pp.1123-1128, 1998. ,
DOI : 10.1016/S0896-6273(00)80629-7
URL : http://doi.org/10.1016/s0896-6273(00)80629-7
How big is a chunk ? Science, pp.482-488, 1974. ,
Experimental studies of learning and the higher mental processes in infra-human primates., Psychological Bulletin, vol.34, issue.10, pp.806-850, 1937. ,
DOI : 10.1037/h0061498
Learning and instinct in animals, 1963. ,
The Use of Hierarchies for Action Selection, Adaptive Behavior, vol.1, issue.4, pp.387-420, 1993. ,
DOI : 10.1177/105971239300100401
The Hippocampus Codes the Uncertainty of Cue-Outcome Associations: An Intracranial Electrophysiological Study in Humans, Journal of Neuroscience, vol.29, issue.16, pp.295287-5294, 2009. ,
DOI : 10.1523/JNEUROSCI.5298-08.2009
Deterministic chaos in tropical atmospheric dynamics . the Atmospheric Sciences, pp.2404-2415, 1995. ,
On the nature and evolution of imitation in the animal kingdom : reappraisal of a century of research Advances in the study of behavior, pp.239-283, 1992. ,
Adaptive switching circuits, IRE WESCON Convention Record, pp.96-104, 1960. ,
Leprobì eme de l'imitation chez le nouveau-né, Enfance, vol.2, pp.135-142, 1957. ,
Snns : An efficient simulator for neural nets, MASCOTS '93 : Proceedings of the Références International Workshop on Modeling, Analysis, and Simulation On Computer and Telecommunication Systems Society for Computer Simulation International, pp.343-346, 1993. ,
Une fois le cou monté sur le robot, en vue de dessus, seule la caméra ainsi que son support sont visibles. C) Sous le support de la caméra, le montage du cou artificiel Le manche joystick (en bleu) est guidé par deux lamelles (en orange) qui sont fixéesfixéesà l'anneau du cou (en gris) De cettemanì ere, lorsque le professeur tire sur le cou, les lamelles entra??neentra??ne le manche du joystick. Pour revenir en position initiale, quatre ressorts ontétéontété monté " couchés ,
Ce support n'est pas mobile, il est directement fixé au support inférieur lui même fixéfixéà la boite contenant les cartesélectroniquescartesélectroniques. Entre ces deux supports se trouve le montage du cou artificiel. Le manche du joystick se trouve ,