A Data-Driven Approach to Remote Tactile Interaction: From a BioTac Sensor to any Fingertip Cutaneous Device

  • Claudio Pacchierotti
  • Domenico Prattichizzo
  • Katherine J. Kuchenbecker
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8618)

Abstract

This paper presents a novel approach to remote tactile interaction, wherein a human uses a telerobot to touch a remote environment. The proposed system consists of a BioTac tactile sensor, in charge of registering contact deformations, and a custom cutaneous device, in charge of applying those deformations to the user’s fingertip via a 3-DoF mobile platform. We employ a novel data-driven algorithm to directly map the BioTac’s sensed stimuli to input commands for the cutaneous device’s motors, without using any kind of skin deformation model. We validated the proposed approach by carrying out a remote tactile interaction experiment. Although this work employed a specific cutaneous device, the experimental protocol and algorithm are valid for any similar display.

Notes

Acknowledgments

The research leading to these results has received funding from the European Union Seventh Framework Programme FP7/2007–2013 under grant agreement n\(^\circ \) 270460 of the project “ACTIVE - Active Constraints Technologies for Ill-defined or Volatile Environments” and under grant agreement n\(^\circ \) 601165 of the project “WEARHAP - WEARable HAPtics for humans and robots.” The authors wish to thank Priyanka Shirsat for her help in realizing the cutaneous device.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Claudio Pacchierotti
    • 1
    • 2
    • 3
  • Domenico Prattichizzo
    • 1
    • 2
  • Katherine J. Kuchenbecker
    • 3
  1. 1.Department of Information Engineering and MathematicsUniversity of SienaSienaItaly
  2. 2.Department of Advanced RoboticsIstituto Italiano di TecnologiaGenovaItaly
  3. 3.Department of Mechanical Engineering and Applied Mechanics and Department of Computer and Information Science, GRASP LabUniversity of PennsylvaniaPhiladelphiaUSA

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