• DocumentCode
    265257
  • Title

    Laser beam multi-position alignment approach for an automated industrial robot calibration

  • Author

    Nieves, Erick ; Ning Xi ; Xiongzi Li ; Martinez, Carlos ; Zhang, Ge

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
  • fYear
    2014
  • fDate
    4-7 June 2014
  • Firstpage
    359
  • Lastpage
    364
  • Abstract
    Robot calibration is widely used in the manufacture industry to enhance the accuracy of industrial robots. There are many reliable calibration systems in the market that are able to calibrate industrial robots. Those systems, however, are far from being a user friendly calibration tool; they are time consuming, very expensive, and usually requires too much human interaction. This paper proposes an innovative calibration approach for industrial robots able to overcome the problems that the current calibration systems are still facing. The proposed approach uses a control system capable of guiding the robot´s tool center point to an accurate multi-position alignment. Using the data of several positions, we are able to calculate the joint offsets using calibration algorithms. Throughout this paper the overall calibration system is presented and discussed. Finally, preliminary experimental results demonstrated the feasibility of the overall calibration system including device hardware, software and calibration algorithms.
  • Keywords
    calibration; human-robot interaction; industrial robots; laser beams; manufacturing industries; automated industrial robot calibration; human interaction; laser beam multiposition alignment approach; manufacture industry; Calibration; Joints; Kinematics; Laser beams; Robot sensing systems; Service robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2014 IEEE 4th Annual International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4799-3668-7
  • Type

    conf

  • DOI
    10.1109/CYBER.2014.6917490
  • Filename
    6917490