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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...
Autores principales: | Chung, Michael Jae-Yoon, Friesen, Abram L., Fox, Dieter, Meltzoff, Andrew N., Rao, Rajesh P. N. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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 |
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