A novel reversal method for measurement of rotary manipulator geometric errors

Jae Chang Lee, Kwang Il Lee, Chang Hwan Kim, Seung Han Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We develop a novel method to measure six geometric errors (two position-independent geometric errors and four position-dependent geometric errors) of a rotary manipulator; we use two displacement sensors and one measurement target to this end. To enhance measurement accuracy, the method initially removes setup errors that distort the sensor data and then models the geometric errors using an nth-order polynomial equation exhibiting C1-continuity. The data are used to define the relative positions of the reference and measurement co-ordinate systems using a homogeneous transform matrix. The geometric errors of a rotary manipulator are measured using the least squares method to exploit the linear relationship between the errors and the measurement target profile. We validate our method via simulation and assess measuring uncertainties with consideration of measurement noise.

Original languageEnglish
Title of host publicationICRCA 2021 - 2021 5th International Conference on Robotics, Control and Automation; Worshop - 2021 5th International Conference on Robotics and Machine, ICRMV 2021
PublisherAssociation for Computing Machinery
Pages39-42
Number of pages4
ISBN (Electronic)9781450387484
DOIs
StatePublished - 5 Mar 2021
Event5th International Conference on Robotics, Control and Automation, ICRCA 2021 - Virtual, Online, Korea, Republic of
Duration: 26 Feb 202128 Feb 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference5th International Conference on Robotics, Control and Automation, ICRCA 2021
Country/TerritoryKorea, Republic of
CityVirtual, Online
Period26/02/2128/02/21

Keywords

  • geometric error
  • parametric modeling
  • reversal method
  • rotary manipulator

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