• DocumentCode
    75889
  • Title

    Achieving Humanlike Motion: Resolving Redundancy for Anthropomorphic Industrial Manipulators

  • Author

    Zanchettin, Andrea Maria ; Bascetta, Luca ; Rocco, Paolo

  • Author_Institution
    Politec. di Milano, Milan, Italy
  • Volume
    20
  • Issue
    4
  • fYear
    2013
  • fDate
    Dec. 2013
  • Firstpage
    131
  • Lastpage
    138
  • Abstract
    Research interest in human-robot interaction (HRI) has been increasing in recent decades and has now reached an appealing degree of maturity, which encourages first steps toward a technology transfer from research centers to robot manufacturers. Making robots able to cooperate with humans in a safe and intuitive manner is no longer a futuristic vision but a concrete opportunity that is just around the corner. On the other hand, measuring the quality of this interaction is a novel field in robotics research and will be extremely useful for future assessments of all efforts in the direction of more effective HRI. First results exist, ranging from a simple approach, like the so-called "uncanny valley" proposed in [1], to a more scientific interpretation supported by physiological measurements [2].
  • Keywords
    dexterous manipulators; human-robot interaction; humanoid robots; industrial manipulators; redundant manipulators; technology transfer; HRI; anthropomorphic industrial manipulator redundancy; human-robot interaction; humanlike motion; physiological measurements; robot manufacturers; robotics research; technology transfer; uncanny valley; Kinematics; Motion control; Redundancy; Robot kinematics; Service robots; Underwater vehicles;
  • fLanguage
    English
  • Journal_Title
    Robotics & Automation Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9932
  • Type

    jour

  • DOI
    10.1109/MRA.2013.2283650
  • Filename
    6651686