• DocumentCode
    12569
  • Title

    Tactile Superresolution and Biomimetic Hyperacuity

  • Author

    Lepora, Nathan F. ; Martinez-Hernandez, Uriel ; Evans, Mathew ; Natale, Lorenzo ; Metta, Giorgio ; Prescott, Tony J.

  • Author_Institution
    Dept. of Eng. Math., Univ. of Bristol, Bristol, UK
  • Volume
    31
  • Issue
    3
  • fYear
    2015
  • fDate
    Jun-15
  • Firstpage
    605
  • Lastpage
    618
  • Abstract
    Motivated by the impact of superresolution methods for imaging, we undertake a detailed and systematic analysis of localization acuity for a biomimetic fingertip and a flat region of tactile skin. We identify three key factors underlying superresolution that enable the perceptual acuity to surpass the sensor resolution: 1) the sensor is constructed with multiple overlapping, broad but sensitive receptive fields; 2) the tactile perception method interpolates between receptors (taxels) to attain subtaxel acuity; and 3) active perception ensures robustness to unknown initial contact location. All factors follow from active Bayesian perception applied to biomimetic tactile sensors with an elastomeric covering that spreads the contact over multiple taxels. In consequence, we attain extreme superresolution with a 35-fold improvement of localization acuity (0.12 mm) over sensor resolution (4 mm). We envisage that these principles will enable cheap high-acuity tactile sensors that are highly customizable to suit their robotic use. Practical applications encompass any scenario where an end-effector must be placed accurately via the sense of touch.
  • Keywords
    Bayes methods; biomimetics; image resolution; skin; tactile sensors; active Bayesian perception; biomimetic fingertip; biomimetic hyperacuity; biomimetic tactile sensor; end-effector; flat region; imaging superresolution method; sensor resolution; systematic analysis; tactile perception method; tactile skin; tactile superresolution; Bayes methods; Image resolution; Skin; Tactile sensors; Biomimetics; force and tactile sensing;
  • fLanguage
    English
  • Journal_Title
    Robotics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1552-3098
  • Type

    jour

  • DOI
    10.1109/TRO.2015.2414135
  • Filename
    7078841