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A Bayesian Developmental Approach to Robotic Goal-Based Imitation Learning

A fundamental challenge in robotics today is building robots that can learn new skills by observing humans and imitating human actions. We propose a new Bayesian approach to robotic learning by imitation inspired by the developmental hypothesis that children use self-experience to bootstrap the proc...

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Detalles Bibliográficos
Autores principales: Chung, Michael Jae-Yoon, Friesen, Abram L., Fox, Dieter, Meltzoff, Andrew N., Rao, Rajesh P. N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4633237/
https://www.ncbi.nlm.nih.gov/pubmed/26536366
http://dx.doi.org/10.1371/journal.pone.0141965