March 10, 2020 Journal article Open Access

Albini Alessandro; Giorgio Cannata

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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>This paper deals with the problem of the recognition of human hand touch by a robot equipped with large area tactile<br>\nsensors covering its body. This problem is relevant in the domain of physical human-robot interaction for discriminating<br>\nbetween human and non-human contacts and to trigger and to drive cooperative tasks or robot motions, or to ensure a<br>\nsafe interaction. The underlying assumption, used in this paper, is that voluntary physical interaction tasks involve hand<br>\ntouch over the robot body, and therefore the capability of recognizing hand contacts is a key element to discriminate a<br>\npurposive human touch from other types of interaction.<br>\nThe proposed approach is based on a geometric transformation of the tactile data, formed by pressure measurements<br>\nassociated to a non uniform cloud of 3D points (taxels) spread over a non linear manifold corresponding to the robot<br>\nbody, into tactile images representing the contact pressure distribution in 2D. Tactile images can be processed using<br>\ndeep learning algorithms to recognize human hands and to compute the pressure distribution applied by the various<br>\nhand segments: palm and single fingers.<br>\nExperimental results, performed on a real robot covered with robot skin, show the effectiveness of the proposed<br>\nmethodology. Moreover, to evaluate its robustness, various types of failures have been simulated. A further analysis<br>\nconcerning the transferability of the system has been performed, considering contacts occurring on a different<br>\nsensorized robot part.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "University of Genoa", 
      "@id": "https://orcid.org/0000-0003-1562-7044", 
      "@type": "Person", 
      "name": "Albini Alessandro"
    }, 
    {
      "affiliation": "University of Genoa", 
      "@id": "https://orcid.org/0000-0001-7932-5411", 
      "@type": "Person", 
      "name": "Giorgio Cannata"
    }
  ], 
  "headline": "Pressure Distribution Classification and Segmentation of Human Hands in Contact with the Robot Body", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2020-03-10", 
  "url": "https://zenodo.org/record/3706665", 
  "keywords": [
    "tactile sensing, robot skin, human robot interaction"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.1177/0278364920907688", 
  "@id": "https://doi.org/10.1177/0278364920907688", 
  "@type": "ScholarlyArticle", 
  "name": "Pressure Distribution Classification and Segmentation of Human Hands in Contact with the Robot Body"
}