Conference paper Open Access
Totaro, Massimo;
Bernardeschi, Irene;
Wang, Hongbo;
Beccai, Lucia
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nam##2200000uu#4500</leader> <datafield tag="041" ind1=" " ind2=" "> <subfield code="a">eng</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Soft sensors</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">conductive foam</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Capacitive sensors</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">tactile sensing</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">porous materials</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Porous materials modeling</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">FEA</subfield> </datafield> <controlfield tag="005">20201107122711.0</controlfield> <datafield tag="500" ind1=" " ind2=" "> <subfield code="a">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</subfield> </datafield> <controlfield tag="001">4252769</controlfield> <datafield tag="711" ind1=" " ind2=" "> <subfield code="d">15 May-15 July 2020</subfield> <subfield code="g">RoboSoft2020</subfield> <subfield code="a">2020 3rd IEEE International Conference on Soft Robotics</subfield> <subfield code="c">New Haven, CT, USA (virtual)</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Istituto Italiano di Tecnologia</subfield> <subfield code="a">Bernardeschi, Irene</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Istituto Italiano di Tecnologia</subfield> <subfield code="0">(orcid)0000-0002-6546-1241</subfield> <subfield code="a">Wang, Hongbo</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Istituto Italiano di Tecnologia</subfield> <subfield code="a">Beccai, Lucia</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">1397183</subfield> <subfield code="z">md5:609b7d16403089bf82fe4d9a5f33e8a4</subfield> <subfield code="u">https://zenodo.org/record/4252769/files/RoboSoft2020_Capacitive Foam Sensor_final submission.pdf</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="y">Conference website</subfield> <subfield code="u">http://robosoft2020.org/</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2020-06-15</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="p">openaire</subfield> <subfield code="p">user-3d-sits</subfield> <subfield code="o">oai:zenodo.org:4252769</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="u">Istituto Italiano di Tecnologia</subfield> <subfield code="a">Totaro, Massimo</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Analysis and optimization of fully foam-based capacitive sensors</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">user-3d-sits</subfield> </datafield> <datafield tag="536" ind1=" " ind2=" "> <subfield code="c">799773</subfield> <subfield code="a">3D Stretchable Inductive Tactile Sensors for Soft Artificial Touch</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield> <subfield code="a">Creative Commons Attribution 4.0 International</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><p>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.</p></subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.1109/RoboSoft48309.2020.9116014</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">publication</subfield> <subfield code="b">conferencepaper</subfield> </datafield> </record>
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