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Spider webs inspiring soft robotics

In soft robotics, bio-inspiration ranges from hard- to software. Orb web spiders provide excellent examples for both. Adapted sensors on their legs may use morphological computing to fine-tune feedback loops that supervise the handling and accurate placement of silk threads. The spider's webs e...

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Detalles Bibliográficos
Autores principales: Vollrath, Fritz, Krink, Thiemo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729045/
https://www.ncbi.nlm.nih.gov/pubmed/33171072
http://dx.doi.org/10.1098/rsif.2020.0569
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author Vollrath, Fritz
Krink, Thiemo
author_facet Vollrath, Fritz
Krink, Thiemo
author_sort Vollrath, Fritz
collection PubMed
description In soft robotics, bio-inspiration ranges from hard- to software. Orb web spiders provide excellent examples for both. Adapted sensors on their legs may use morphological computing to fine-tune feedback loops that supervise the handling and accurate placement of silk threads. The spider's webs embody the decision rules of a complex behaviour that relies on navigation and piloting laid down in silk by behaviour charting inherited rules. Analytical studies of real spiders allow the modelling of path-finding construction rules optimized in evolutionary algorithms. We propose that deconstructing spiders and unravelling webs may lead to adaptable robots able to invent and construct complex novel structures using relatively simple rules of thumb.
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spelling pubmed-77290452020-12-22 Spider webs inspiring soft robotics Vollrath, Fritz Krink, Thiemo J R Soc Interface Life Sciences–Engineering interface In soft robotics, bio-inspiration ranges from hard- to software. Orb web spiders provide excellent examples for both. Adapted sensors on their legs may use morphological computing to fine-tune feedback loops that supervise the handling and accurate placement of silk threads. The spider's webs embody the decision rules of a complex behaviour that relies on navigation and piloting laid down in silk by behaviour charting inherited rules. Analytical studies of real spiders allow the modelling of path-finding construction rules optimized in evolutionary algorithms. We propose that deconstructing spiders and unravelling webs may lead to adaptable robots able to invent and construct complex novel structures using relatively simple rules of thumb. The Royal Society 2020-11 2020-11-11 /pmc/articles/PMC7729045/ /pubmed/33171072 http://dx.doi.org/10.1098/rsif.2020.0569 Text en © 2020 The Authors. http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Life Sciences–Engineering interface
Vollrath, Fritz
Krink, Thiemo
Spider webs inspiring soft robotics
title Spider webs inspiring soft robotics
title_full Spider webs inspiring soft robotics
title_fullStr Spider webs inspiring soft robotics
title_full_unstemmed Spider webs inspiring soft robotics
title_short Spider webs inspiring soft robotics
title_sort spider webs inspiring soft robotics
topic Life Sciences–Engineering interface
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729045/
https://www.ncbi.nlm.nih.gov/pubmed/33171072
http://dx.doi.org/10.1098/rsif.2020.0569
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