• DocumentCode
    3527860
  • Title

    Human-like robotic handwriting and drawing

  • Author

    Boren Li ; Zheng, Yuan F. ; Hemami, H. ; Da Che

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA
  • fYear
    2013
  • fDate
    6-10 May 2013
  • Firstpage
    4942
  • Lastpage
    4947
  • Abstract
    The method of human-like handwriting and drawing is addressed with a three-link arm. Three strategies of trajectory planning are considered: the basic stroke method, the Bezier curve method, and the non-gradient numerical optimization method. Planar patterns of handwriting or drawing are converted into the vector form of joint angles in which sequence and speed of the movement can be designed to imitate human handwriting and drawing. A nonlinear three-link three-dimensional arm, similar to a human arm, is developed to track the planned trajectories. The feasibility of these methods is demonstrated by simulation.
  • Keywords
    gradient methods; handwriting recognition; humanoid robots; numerical analysis; optimisation; robot vision; Bezier curve method; human handwriting; human like robotic drawing; human like robotic handwriting; joint angles; nongradient numerical optimization method; planar patterns; stroke method; trajectory planning; Decoding; Encoding; Equations; Mathematical model; Planning; Robots; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2013 IEEE International Conference on
  • Conference_Location
    Karlsruhe
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4673-5641-1
  • Type

    conf

  • DOI
    10.1109/ICRA.2013.6631283
  • Filename
    6631283