• DocumentCode
    713468
  • Title

    A force-controlled portrait drawing robot

  • Author

    Jain, Shubham ; Gupta, Prashant ; Kumar, Vikash ; Sharma, Kamal

  • Author_Institution
    Swami Keshvanand Inst. of Technol., Jaipur, India
  • fYear
    2015
  • fDate
    17-19 March 2015
  • Firstpage
    3160
  • Lastpage
    3165
  • Abstract
    There has been a lot of research in recreational uses of robots. A robot drawing the portrait of a human face is one such famous task. This makes the robot behavior more human-like and entertaining. There have been several demonstrations of portrait drawing robots in past few years. But the existing techniques can draw only on pre-calibrated and flat surfaces. This paper demonstrates a robot equipped with force sensing capability that can draw portraits on a non-calibrated, arbitrarily shaped surface. The robot is able to draw on a non-calibrated surface by orienting its drawing pen normal to the drawing surface, the penjs-orientation being computed from the forces being sensed. In this way, the robot is also able to draw portraits on arbitrarily shaped surfaces without knowing the surface geometry. This avoids the need for calibration of robot with respect to the drawing surface. A number of portraits were drawn successfully on a flat surface without calibration. Also a map outline was drawn on a spherical globe to demonstrate the ability of robot to draw on an arbitrarily shaped surface.
  • Keywords
    dexterous manipulators; edge detection; force control; arbitrarily shaped surface; edge detection; force-controlled portrait drawing robot; noncalibrated surface; robot behavior; surface geometry; Calibration; Force; Image edge detection; Robot kinematics; Robot sensing systems; Service robots; Force-Controlled Contour Tracing; Indirect Hybrid Position/Force Control; x Edge Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2015 IEEE International Conference on
  • Conference_Location
    Seville
  • Type

    conf

  • DOI
    10.1109/ICIT.2015.7125564
  • Filename
    7125564