Robots that can adapt like animals
Antoine Cully,
Jeff Clune,
Danesh Tarapore and
Jean-Baptiste Mouret ()
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Antoine Cully: Sorbonne Universités, Université Pierre et Marie Curie (UPMC), Paris 06, UMR 7222, Institut des Systèmes Intelligents et de Robotique (ISIR)
Jeff Clune: University of Wyoming
Danesh Tarapore: Sorbonne Universités, Université Pierre et Marie Curie (UPMC), Paris 06, UMR 7222, Institut des Systèmes Intelligents et de Robotique (ISIR)
Jean-Baptiste Mouret: Sorbonne Universités, Université Pierre et Marie Curie (UPMC), Paris 06, UMR 7222, Institut des Systèmes Intelligents et de Robotique (ISIR)
Nature, 2015, vol. 521, issue 7553, 503-507
Abstract:
An intelligent trial-and-error learning algorithm is presented that allows robots to adapt in minutes to compensate for a wide variety of types of damage.
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:521:y:2015:i:7553:d:10.1038_nature14422
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DOI: 10.1038/nature14422
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