• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Calibration of external linear robot axes using spline interpolation
 
  • Details
  • Full
Options
2014
Conference Paper
Title

Calibration of external linear robot axes using spline interpolation

Abstract
This paper introduces a method to enhance the accuracy of any robot system that combines an external linear axis with any industrial robot. The developed technique used measured positions and orientations (poses) of the linear axis to identify the existing deviations from an ideal linear axis model in six degrees of freedom (DOF). Based on the measured data B-Splines were used to model the external axis in all six DOF along its entire travel distance. The resulting model allowed the prediction of the linear axis pose with the help of the calculated splines. With this predictable pose the absolute accuracy of any standard industrial robot can be enhanced that is located on the linear axis. For adaptive processes this routine forms the basis of positioning a standard industrial robot regarding its absolute accuracy in combination with the advantageous workspace capability of an external axis. The described method was evaluated and tested on a standard industrial robot system using a standard external linear axis. With this modelling the absolute accuracy of the linear axis was improved close to its repeatability error. All measurements to determine the position and orientation of the linear axis were done with a laser tracker.
Author(s)
Borrmann, Christof
Fraunhofer-Institut für Fertigungstechnik und Angewandte Materialforschung IFAM  
Wollnack, Jörg
Hamburg University of Technology Hamburg, Germany, Institute of Production Management and Technology
Mainwork
ICMIC 2014, 6th International Conference on Modelling, Identification & Control. Proceedings  
Conference
International Conference on Modelling, Identification & Control (ICMIC) 2014  
DOI
10.1109/ICMIC.2014.7020737
Language
English
Fraunhofer-Institut für Fertigungstechnik und Angewandte Materialforschung IFAM  
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024