June 15, 2020 Conference paper Open Access

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

JSON Export

{
  "files": [
    {
      "links": {
        "self": "https://zenodo.org/api/files/90feb8cb-9115-46b9-bd4a-73f9877fecb8/RoboSoft2020_Capacitive%20Foam%20Sensor_final%20submission.pdf"
      }, 
      "checksum": "md5:609b7d16403089bf82fe4d9a5f33e8a4", 
      "bucket": "90feb8cb-9115-46b9-bd4a-73f9877fecb8", 
      "key": "RoboSoft2020_Capacitive Foam Sensor_final submission.pdf", 
      "type": "pdf", 
      "size": 1397183
    }
  ], 
  "owners": [
    44690
  ], 
  "doi": "10.1109/RoboSoft48309.2020.9116014", 
  "stats": {
    "version_unique_downloads": 164.0, 
    "unique_views": 50.0, 
    "views": 82.0, 
    "version_views": 82.0, 
    "unique_downloads": 164.0, 
    "version_unique_views": 50.0, 
    "volume": 238918293.0, 
    "version_downloads": 171.0, 
    "downloads": 171.0, 
    "version_volume": 238918293.0
  }, 
  "links": {
    "doi": "https://doi.org/10.1109/RoboSoft48309.2020.9116014", 
    "latest_html": "https://zenodo.org/record/4252769", 
    "bucket": "https://zenodo.org/api/files/90feb8cb-9115-46b9-bd4a-73f9877fecb8", 
    "badge": "https://zenodo.org/badge/doi/10.1109/RoboSoft48309.2020.9116014.svg", 
    "html": "https://zenodo.org/record/4252769", 
    "latest": "https://zenodo.org/api/records/4252769"
  }, 
  "created": "2020-11-06T19:01:02.560858+00:00", 
  "updated": "2020-11-07T12:27:11.462074+00:00", 
  "conceptrecid": "4252768", 
  "revision": 7, 
  "id": 4252769, 
  "metadata": {
    "access_right_category": "success", 
    "doi": "10.1109/RoboSoft48309.2020.9116014", 
    "version": "V_final_submmision", 
    "language": "eng", 
    "title": "Analysis and optimization of fully foam-based capacitive sensors", 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "notes": "This is the final manuscript submitted for publication. \nFor request of research data or any other detail, please contact Dr Massimo Totaro, massimo.totaro@iit.it", 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "4252768"
          }, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "4252769"
          }
        }
      ]
    }, 
    "communities": [
      {
        "id": "3d-sits"
      }
    ], 
    "grants": [
      {
        "code": "799773", 
        "links": {
          "self": "https://zenodo.org/api/grants/10.13039/501100000780::799773"
        }, 
        "title": "3D Stretchable Inductive Tactile Sensors for Soft Artificial Touch", 
        "acronym": "3D-SITS", 
        "program": "H2020", 
        "funder": {
          "doi": "10.13039/501100000780", 
          "acronyms": [], 
          "name": "European Commission", 
          "links": {
            "self": "https://zenodo.org/api/funders/10.13039/501100000780"
          }
        }
      }
    ], 
    "keywords": [
      "Soft sensors", 
      "conductive foam", 
      "Capacitive sensors", 
      "tactile sensing", 
      "porous materials", 
      "Porous materials modeling", 
      "FEA"
    ], 
    "publication_date": "2020-06-15", 
    "creators": [
      {
        "affiliation": "Istituto Italiano di Tecnologia", 
        "name": "Totaro, Massimo"
      }, 
      {
        "affiliation": "Istituto Italiano di Tecnologia", 
        "name": "Bernardeschi, Irene"
      }, 
      {
        "orcid": "0000-0002-6546-1241", 
        "affiliation": "Istituto Italiano di Tecnologia", 
        "name": "Wang, Hongbo"
      }, 
      {
        "affiliation": "Istituto Italiano di Tecnologia", 
        "name": "Beccai, Lucia"
      }
    ], 
    "meeting": {
      "acronym": "RoboSoft2020", 
      "url": "http://robosoft2020.org/", 
      "dates": "15 May-15 July 2020", 
      "place": "New Haven, CT, USA (virtual)", 
      "title": "2020 3rd IEEE International Conference on Soft Robotics"
    }, 
    "access_right": "open", 
    "resource_type": {
      "subtype": "conferencepaper", 
      "type": "publication", 
      "title": "Conference paper"
    }, 
    "description": "<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>"
  }
}