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Conference paper Open Access

Analysis and optimization of fully foam-based capacitive sensors

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

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  "DOI": "10.1109/RoboSoft48309.2020.9116014", 
  "language": "eng", 
  "title": "Analysis and optimization of fully foam-based capacitive sensors", 
  "issued": {
    "date-parts": [
  "abstract": "<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>", 
  "author": [
      "family": "Totaro, Massimo"
      "family": "Bernardeschi, Irene"
      "family": "Wang, Hongbo"
      "family": "Beccai, Lucia"
  "id": "4252769", 
  "note": "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", 
  "event-place": "New Haven, CT, USA (virtual)", 
  "version": "V_final_submmision", 
  "type": "paper-conference", 
  "event": "2020 3rd IEEE International Conference on Soft Robotics (RoboSoft2020)"
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