Journal article Open Access

Taking inspiration from climbing plants: methodologies and benchmarks—a review

Fiorello, Isabella; Del Dottore, Emanuela; Tramacere, Francesca; Mazzolai, Barbara


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="URL">https://zenodo.org/record/3719417</identifier>
  <creators>
    <creator>
      <creatorName>Fiorello, Isabella</creatorName>
      <givenName>Isabella</givenName>
      <familyName>Fiorello</familyName>
      <affiliation>The Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy; Center for Micro-Biorobotics, Istituto Italiano di Tecnologia, Pontedera, Italy</affiliation>
    </creator>
    <creator>
      <creatorName>Del Dottore, Emanuela</creatorName>
      <givenName>Emanuela</givenName>
      <familyName>Del Dottore</familyName>
      <affiliation>Center for Micro-BioRobotics, Istituto Italiano di Tecnologia</affiliation>
    </creator>
    <creator>
      <creatorName>Tramacere, Francesca</creatorName>
      <givenName>Francesca</givenName>
      <familyName>Tramacere</familyName>
      <affiliation>Center for Micro-BioRobotics, Istituto Italiano di Tecnologia</affiliation>
    </creator>
    <creator>
      <creatorName>Mazzolai, Barbara</creatorName>
      <givenName>Barbara</givenName>
      <familyName>Mazzolai</familyName>
      <affiliation>Center for Micro-BioRobotics, Istituto Italiano di Tecnologia</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Taking inspiration from climbing plants: methodologies and benchmarks—a review</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <dates>
    <date dateType="Issued">2020-03-18</date>
  </dates>
  <resourceType resourceTypeGeneral="JournalArticle"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3719417</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1088/1748-3190/ab7416</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/growbot</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/3.0/legalcode">Creative Commons Attribution 3.0 Unported</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;One of the major challenges in robotics and engineering is to develop efficient technological solutions that are able to cope with complex environments and unpredictable constraints. Taking inspiration from natural organisms is a well-known approach to tackling these issues. Climbing plants are an important, yet innovative, source of inspiration due to their ability to adapt to diverse habitats, and can be used as a model for developing robots and smart devices for exploration and monitoring, as well as for search and rescue operations. This review reports the main methodologies and approaches used by scientists to investigate and extract the features of climbing plants that are relevant to the artificial world in terms of adaptation, movement, and behaviour, and it summarizes the current available climbing plant-inspired engineering solutions.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/824074/">824074</awardNumber>
      <awardTitle>Towards a new generation of plant-inspired growing artefacts</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
55
334
views
downloads
Views 55
Downloads 334
Data volume 938.2 MB
Unique views 41
Unique downloads 256

Share

Cite as