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Embodied neuromorphic intelligence

Authors :
Bartolozzi, Chiara; https://orcid.org/0000-0003-3465-6449
Indiveri, Giacomo; https://orcid.org/0000-0002-7109-1689
Donati, Elisa; https://orcid.org/0000-0002-8091-1298
Bartolozzi, Chiara; https://orcid.org/0000-0003-3465-6449
Indiveri, Giacomo; https://orcid.org/0000-0002-7109-1689
Donati, Elisa; https://orcid.org/0000-0002-8091-1298
Source :
Bartolozzi, Chiara; Indiveri, Giacomo; Donati, Elisa (2022). Embodied neuromorphic intelligence. Nature Communications, 13(1):1024.
Publication Year :
2022

Abstract

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.

Details

Database :
OAIster
Journal :
Bartolozzi, Chiara; Indiveri, Giacomo; Donati, Elisa (2022). Embodied neuromorphic intelligence. Nature Communications, 13(1):1024.
Notes :
application/pdf, info:doi/10.5167/uzh-231192, English, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1443051612
Document Type :
Electronic Resource