• DocumentCode
    3704713
  • Title

    Babybot challenge: Motor skills

  • Author

    Patricia Shaw;Daniel Lewkowicz;Alexandros Giagkos;James Law;Suresh Kumar;Mark Lee; Qiang Shen;Christian De Masson d´Autume

  • Author_Institution
    Dept. of Comput. Sci., Aberystwyth Univ., Aberystwyth, UK
  • fYear
    2015
  • Firstpage
    47
  • Lastpage
    54
  • Abstract
    In 1984, von Hofsten performed a longitudinal study of early reaching in infants between the ages of 1 week and 19 weeks. This paper proposes a possible model using excitation of various subsystems to reproduce the longitudinal study. The model is then implemented and tested on an iCub humanoid robot, and the results compared to the original study. The resulting model shares interesting similarities to the data presented by von Hofsten, in particular a slight dip in the quantity of reaching. However, the dip is shifted along by a few weeks, and the analysis of hand behaviour is inconclusive based on the data recorded.
  • Keywords
    "Muscles","Data models","Visualization","Pediatrics","Electronic mail","Robot sensing systems"
  • Publisher
    ieee
  • Conference_Titel
    Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2015 Joint IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/DEVLRN.2015.7346114
  • Filename
    7346114