Machine Learning Methods for High-Level Cognitive Capabilities in Robotics

doi:10.3389/978-2-88963-261-9

Download Url(s)

https://www.frontiersin.org/research-topics/5334/machine-learning-methods-for-high-level-cognitive-capabilities-in-robotics

Contributor(s)

Ugur, Emre (editor)

Ogata, Tetsuya (editor)

Demiris, Yiannis (editor)

Taniguchi, Tadahiro (editor)

Nagai, Takayuki (editor)

Language

English

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Abstract

This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact

URI

https://directory.doabooks.org/handle/20.500.12854/73416

Keywords

Multimodal machine learning for robotics; Deep learning for robotics; Bayesian modeling for high-level cognitive capabilities; Language acquisition and Symbol grounding; Human-robot communication and collaboration based on machine learning