• DocumentCode
    2334651
  • Title

    Accurate insertion strategies using simple optical sensors

  • Author

    Paulos, Eric ; Canny, John

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • fYear
    1994
  • fDate
    8-13 May 1994
  • Firstpage
    1656
  • Abstract
    Peg-in-hole insertion is not only a longstanding problem in robotics but the most common automated mechanical assembly task. In this paper the authors present a high precision, self-calibrating peg-in-hole insertion strategy using several very simple, inexpensive, and accurate optical sensors. The self-calibrating feature allows the authors to achieve successful dead-reckoning insertions with tolerances of 25 microns without any accurate initial position information for the robot, pegs, or holes. The program the authors implemented works for any cylindrical peg, and the sensing steps do not depend on the peg diameter, which the program does not know. The key to the strategy is the use of a fixed sensor to localize both a mobile sensor and the peg, while the mobile sensor localizes the hole. The authors´ strategy is extremely fast, localizing pegs as they are en route to their insertion location without pausing. The result is that insertion times are dominated by the transport time between pick and place operations
  • Keywords
    assembling; industrial robots; materials handling; optical sensors; accurate insertion strategies; automated mechanical assembly task; dead-reckoning insertions; high precision self-calibrating peg-in-hole insertion strategy; mobile sensor; peg-in-hole insertion; simple optical sensors; transport time; Assembly systems; Calibration; Error correction; Optical beams; Optical sensors; Robot sensing systems; Robotic assembly; Robotics and automation; Throughput; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1994. Proceedings., 1994 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-8186-5330-2
  • Type

    conf

  • DOI
    10.1109/ROBOT.1994.351353
  • Filename
    351353