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Embodied neuromorphic intelligence

The design of robots that interact autonomously with the environment and exhibit complex behaviours is an open challenge that can benefit from understanding what makes living beings fit to act in the world. Neuromorphic engineering studies neural computational principles to develop technologies that...

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Detalles Bibliográficos
Autores principales: Bartolozzi, Chiara, Indiveri, Giacomo, Donati, Elisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866429/
https://www.ncbi.nlm.nih.gov/pubmed/35197450
http://dx.doi.org/10.1038/s41467-022-28487-2
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author Bartolozzi, Chiara
Indiveri, Giacomo
Donati, Elisa
author_facet Bartolozzi, Chiara
Indiveri, Giacomo
Donati, Elisa
author_sort Bartolozzi, Chiara
collection PubMed
description The design of robots that interact autonomously with the environment and exhibit complex behaviours is an open challenge that can benefit from understanding what makes living beings fit to act in the world. Neuromorphic engineering studies neural computational principles to develop technologies that can provide a computing substrate for building compact and low-power processing systems. We discuss why endowing robots with neuromorphic technologies – from perception to motor control – represents a promising approach for the creation of robots which can seamlessly integrate in society. We present initial attempts in this direction, highlight open challenges, and propose actions required to overcome current limitations.
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spelling pubmed-88664292022-04-01 Embodied neuromorphic intelligence Bartolozzi, Chiara Indiveri, Giacomo Donati, Elisa Nat Commun Perspective The design of robots that interact autonomously with the environment and exhibit complex behaviours is an open challenge that can benefit from understanding what makes living beings fit to act in the world. Neuromorphic engineering studies neural computational principles to develop technologies that can provide a computing substrate for building compact and low-power processing systems. We discuss why endowing robots with neuromorphic technologies – from perception to motor control – represents a promising approach for the creation of robots which can seamlessly integrate in society. We present initial attempts in this direction, highlight open challenges, and propose actions required to overcome current limitations. Nature Publishing Group UK 2022-02-23 /pmc/articles/PMC8866429/ /pubmed/35197450 http://dx.doi.org/10.1038/s41467-022-28487-2 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Perspective
Bartolozzi, Chiara
Indiveri, Giacomo
Donati, Elisa
Embodied neuromorphic intelligence
title Embodied neuromorphic intelligence
title_full Embodied neuromorphic intelligence
title_fullStr Embodied neuromorphic intelligence
title_full_unstemmed Embodied neuromorphic intelligence
title_short Embodied neuromorphic intelligence
title_sort embodied neuromorphic intelligence
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866429/
https://www.ncbi.nlm.nih.gov/pubmed/35197450
http://dx.doi.org/10.1038/s41467-022-28487-2
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