• DocumentCode
    495965
  • Title

    Light-Exoskeleton and Data-Glove integration for enhancing virtual reality applications

  • Author

    Lugo-Villeda, Luis I. ; Frisoli, Antonio ; Pabon, Silvia ; Padilla, Miguel A. ; Sotgiu, Edoardo ; Bergamasco, Massimo

  • Author_Institution
    Perceptual Robot.-PERCRO, Scuola Superiore Sant´´Anna, Pisa, Italy
  • fYear
    2009
  • fDate
    22-26 June 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This contribution discusses the advanced technologies integration: the PERCRO light-exoskeleton and the PERCRO data-glove wherein the main pursuit is the enhancement of the human grasping skills inside virtual environments. The mastering of motor human skills for taking up, lifting or manipulating objects during grasping tasks, could be effectively enhanced thanks to the inclusion of an arm exoskeleton which provides arm haptic-guidance-positioning (HGPo) into spatial coordinates and the data-glove for hand dexterity practicing. This paper takes into account a synergetic fusion of theoretical concepts and practical developments, pointing out the feasibility of having robust and accurate hand/arm haptic-robotic guidance positioning within virtual reality environments. Notice that those applications demand high precision, robustness, repeatability and hand/arm dexterity; such a mentioned properties are covered by the proposed system.
  • Keywords
    control engineering computing; data gloves; dexterous manipulators; position control; virtual reality; data-glove integration; hand dexterity practicing; hand/arm haptic-robotic guidance positioning; human grasping skills; light-exoskeleton integration; virtual reality; Application software; Exoskeletons; Force feedback; Grasping; Haptic interfaces; Humans; Robust control; Robustness; Virtual environment; Virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Robotics, 2009. ICAR 2009. International Conference on
  • Conference_Location
    Munich
  • Print_ISBN
    978-1-4244-4855-5
  • Electronic_ISBN
    978-3-8396-0035-1
  • Type

    conf

  • Filename
    5174730