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Mergeable nervous systems for robots

Robots have the potential to display a higher degree of lifetime morphological adaptation than natural organisms. By adopting a modular approach, robots with different capabilities, shapes, and sizes could, in theory, construct and reconfigure themselves as required. However, current modular robots...

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Autores principales: Mathews, Nithin, Christensen, Anders Lyhne, O’Grady, Rehan, Mondada, Francesco, Dorigo, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5595853/
https://www.ncbi.nlm.nih.gov/pubmed/28900125
http://dx.doi.org/10.1038/s41467-017-00109-2
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author Mathews, Nithin
Christensen, Anders Lyhne
O’Grady, Rehan
Mondada, Francesco
Dorigo, Marco
author_facet Mathews, Nithin
Christensen, Anders Lyhne
O’Grady, Rehan
Mondada, Francesco
Dorigo, Marco
author_sort Mathews, Nithin
collection PubMed
description Robots have the potential to display a higher degree of lifetime morphological adaptation than natural organisms. By adopting a modular approach, robots with different capabilities, shapes, and sizes could, in theory, construct and reconfigure themselves as required. However, current modular robots have only been able to display a limited range of hardwired behaviors because they rely solely on distributed control. Here, we present robots whose bodies and control systems can merge to form entirely new robots that retain full sensorimotor control. Our control paradigm enables robots to exhibit properties that go beyond those of any existing machine or of any biological organism: the robots we present can merge to form larger bodies with a single centralized controller, split into separate bodies with independent controllers, and self-heal by removing or replacing malfunctioning body parts. This work takes us closer to robots that can autonomously change their size, form and function.
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spelling pubmed-55958532017-09-14 Mergeable nervous systems for robots Mathews, Nithin Christensen, Anders Lyhne O’Grady, Rehan Mondada, Francesco Dorigo, Marco Nat Commun Article Robots have the potential to display a higher degree of lifetime morphological adaptation than natural organisms. By adopting a modular approach, robots with different capabilities, shapes, and sizes could, in theory, construct and reconfigure themselves as required. However, current modular robots have only been able to display a limited range of hardwired behaviors because they rely solely on distributed control. Here, we present robots whose bodies and control systems can merge to form entirely new robots that retain full sensorimotor control. Our control paradigm enables robots to exhibit properties that go beyond those of any existing machine or of any biological organism: the robots we present can merge to form larger bodies with a single centralized controller, split into separate bodies with independent controllers, and self-heal by removing or replacing malfunctioning body parts. This work takes us closer to robots that can autonomously change their size, form and function. Nature Publishing Group UK 2017-09-12 /pmc/articles/PMC5595853/ /pubmed/28900125 http://dx.doi.org/10.1038/s41467-017-00109-2 Text en © The Author(s) 2017 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/.
spellingShingle Article
Mathews, Nithin
Christensen, Anders Lyhne
O’Grady, Rehan
Mondada, Francesco
Dorigo, Marco
Mergeable nervous systems for robots
title Mergeable nervous systems for robots
title_full Mergeable nervous systems for robots
title_fullStr Mergeable nervous systems for robots
title_full_unstemmed Mergeable nervous systems for robots
title_short Mergeable nervous systems for robots
title_sort mergeable nervous systems for robots
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5595853/
https://www.ncbi.nlm.nih.gov/pubmed/28900125
http://dx.doi.org/10.1038/s41467-017-00109-2
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