Abstract
We report results of an interdisciplinary project which aims at endowing a real robot system with the capacity for learning by goal-directed imitation. The control architecture is biologically inspired as it reflects recent experimental findings in action observation/execution studies. We test its functionality in variations of an imitation paradigm in which the artefact has to reproduce the observed or inferred end state of a grasping-placing sequence displayed by a human model.
The work was supported by the European grantArteSImit (IST-2000-29686). We would like to thank Drs Leonardo Fogassi and Giacomo Rizzolatti for numerous discussions about this work.
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References
Schaal, S., Ijspeert, A., Billard, A.: Computational approaches to motor learning by imitation. Phil. Trans. R. Soc. Lond. B 358, 537–547 (2003)
Bekkering, H., Wohlschläger, A., Gattis, M.: Imitation of gestures in children is goal-directed. The Quartely Journal of Experimental Psychology 53A, 153–164 (2000)
Wohlschäger, A., Gattis, M., Bekkering, H.: Action generation and action perception in imitation: An instantiation of the ideomotor principle. Phil. Trans. R. Soc. Lond. B 358, 501–515 (2003)
Keysers, C., Perrett, D.I.: Demystifying social cognition: a Hebbian perspective. Trends in Cognitive Science 8, 501–507 (2004)
Rizzolatti, G., Fogassi, L., Gallese, V.: Neurophysiological mechanisms underlying the understanding and imitation of action. Nature Reviews 2, 661–670 (2001)
Amari, S.: Dynamics of pattern formation in lateral-inhibitory type neural fields. Biological Cybernetics 27, 77–87 (1977)
Erlhagen, W., Schöner, G.: Dynamic field theory of movement preparation. Psychological Review 109, 545–572 (2002)
Erlhagen, W., Mukovskiy, A., Bicho, E.: A dynamic model for action understanding and goal-directed imitation (Submitted)
Fogassi, L., Ferrari, P.F., Gesierich, B., Rozzi, S., Chersi, F., Rizzolatti, G.: Parietal lobe: from action organization to intention understanding. Science 308, 662–667 (2005)
Kassim, A., Kumar, B.V.K.V.: The wave expansion neural network. Neurocomputing 16, 237–258 (1997)
Billard, A., Epars, Y., Calinon, S., Schaal, S., Cheng, G.: Discovering optimal imitation strategies. Robotics and Autonomous Systems 47, 69–77 (2004)
Alissandrakis, A., Nehaniv, C.L., Dautenhahn, K.: Imitation with ALICE: Learning to imitate corresponding actions across dissimiliar embodiments. IEEE Transactions on Systems, Man, and Cybernetics- Part A. Systems and Humans 32, 482–496 (2002)
Demiris, J., Hayes, G.: Imitation as a dual-route process featuring predictive and learning components: A biologically plausible computational model. In: Dautenhahn, K., Nehaniv, C.L. (eds.) Imitation in Animals and Artifacts, pp. 327–361. MIT Press, Cambridge (2002)
Wolpert, D.M., Doya, K., Kawato, M.: A unifying computational framework for motor control and social interaction. Phil. Trans. R. Soc. Lond. B 358, 593–602 (2003)
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Erlhagen, W. et al. (2005). Action Understanding and Imitation Learning in a Robot-Human Task. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Biological Inspirations – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3696. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550822_42
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DOI: https://doi.org/10.1007/11550822_42
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