June 15, 2020 Conference paper Open Access

Totaro, Massimo; Bernardeschi, Irene; Wang, Hongbo; Beccai, Lucia

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/4252769</identifier>
  <creators>
    <creator>
      <creatorName>Totaro, Massimo</creatorName>
      <givenName>Massimo</givenName>
      <familyName>Totaro</familyName>
      <affiliation>Istituto Italiano di Tecnologia</affiliation>
    </creator>
    <creator>
      <creatorName>Bernardeschi, Irene</creatorName>
      <givenName>Irene</givenName>
      <familyName>Bernardeschi</familyName>
      <affiliation>Istituto Italiano di Tecnologia</affiliation>
    </creator>
    <creator>
      <creatorName>Wang, Hongbo</creatorName>
      <givenName>Hongbo</givenName>
      <familyName>Wang</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-6546-1241</nameIdentifier>
      <affiliation>Istituto Italiano di Tecnologia</affiliation>
    </creator>
    <creator>
      <creatorName>Beccai, Lucia</creatorName>
      <givenName>Lucia</givenName>
      <familyName>Beccai</familyName>
      <affiliation>Istituto Italiano di Tecnologia</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Analysis and optimization of fully foam-based capacitive sensors</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>Soft sensors</subject>
    <subject>conductive foam</subject>
    <subject>Capacitive sensors</subject>
    <subject>tactile sensing</subject>
    <subject>porous materials</subject>
    <subject>Porous materials modeling</subject>
    <subject>FEA</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-06-15</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="ConferencePaper"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4252769</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1109/RoboSoft48309.2020.9116014</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/3d-sits</relatedIdentifier>
  </relatedIdentifiers>
  <version>V_final_submmision</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This paper presents the electromechanical analysis of ultra-light and highly compressible capacitive pressure sensors based on open-cell foams, with top and bottom surface electrodes built by PEDOT:PSS coating. Multiple samples of porous capacitive sensors were characterized, and experimental results were compared by means of both FEM simulations and theoretical analysis. The agreement between experiments and theoretical/numerical prediction is good, suggesting that this methodology can be a useful tool for fine tuning of the sensor performance (i.e. sensitivity, range) for specific applications. Finally, the proposed foam sensor provides a low-cost, easy-to-implement, robust sensing solution for real-world applications in robotics and wearable systems.&lt;/p&gt;</description>
    <description descriptionType="Other">This is the final manuscript submitted for publication. 
For request of research data or any other detail, please contact Dr Massimo Totaro, massimo.totaro@iit.it</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/799773/">799773</awardNumber>
      <awardTitle>3D Stretchable Inductive Tactile Sensors for Soft Artificial Touch</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>