Two Axis Fixture Calibration Utilizing Industrial Robot Artifact Object Touch Sensing
Date of Award
2020
Degree Name
M.S. in Electrical Engineering
Department
Department of Electrical and Computer Engineering
Advisor/Chair
Advisor: Temesgen Kebede
Abstract
In this paper two axis fixture calibration utilizing industrial robot artifact object touch sensing isexplored. The background for the topic of fixture calibration is provided as well as what was done inthis paper. Through this paper, two axis fixture calibration utilizing industrial robot artifact objecttouch sensing is theorized with mathematics, modeled in simulation, further modeled in experimental modeling, tested in experimentation, and verified with a new procedure. Overall, the goal ofautomating the calibration process currently used in Yaskawa controllers was achieved. The new TBcalibration method produces an equivalently accurate calibration to the Yaskawa calibration method,while removing human error with touch sensing. Additionally, a numeric verification method, theTCP verification method, is developed for quantifying the accuracy of the fixture calibration.
Keywords
Electrical Engineering, Robotic Calibration, Fixture Calibration, Calibration, Touch Sensing, Yaskawa, Motoman
Rights Statement
Copyright © 2020, author
Recommended Citation
Benton, Thomas Henry, "Two Axis Fixture Calibration Utilizing Industrial Robot Artifact Object Touch Sensing" (2020). Graduate Theses and Dissertations. 6931.
https://ecommons.udayton.edu/graduate_theses/6931