Abstract
How an internal observer, that is not given any a priori knowledge or interpretation of what its sensors receives, learn to imitate seems a formidable issue from a viewpoint of a constructivist approach towards both establishing the design principle for an intelligent robot and understanding human intelligence. This paper argue two issues towards imitation by an internal observer: one concerns how to construct the self body representation of the robot with vision and proprioception and the other concerns how to construct a mapping of vocalization between agents with different articulation systems. Preliminary results with real robots are given. © Springer-Verlag Berlin Heidelberg 2004.
Cite
CITATION STYLE
Yoshikawa, Y., Assida, M., & Hosoda, K. (2004). Towards imitation learning from a viewpoint of an internal observer. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3139, pp. 278–283). Springer Verlag. https://doi.org/10.1007/978-3-540-27833-7_21
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