A Highly Accurate Calibrator Based on a Novel Variable Step-Size Levenberg-Marquardt Algorithm

Xin Luo*, Zhibin Li, Long Jin, Shuai Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

Abstract

This chapter develops an efficient calibrator based on a novel unscented Kalman filter and a variable step-size Levenberg-Marquardt algorithm (UKF-VSLM). Sect. 7.1 first discusses the research background for robot calibration, then Sect. 7.2 introduces the basic principles for an unscented Kalman filter and a variable step-size Levenberg-Marquardt algorithm. Furthermore, Sect. 7.3 presents extensive experiments on an ABB IRB120 industrial robot. Lastly, the conclusions are drawn in Sect. 7.4.
Original languageEnglish
Title of host publicationRobot Control and Calibration
Subtitle of host publicationInnovative Control Schemes and Calibration Algorithms
Place of PublicationSingapore
PublisherSpringer
Pages111-121
ISBN (Electronic)978-981-99-5766-8
ISBN (Print)978-981-99-5765-1
DOIs
Publication statusPublished - 2023
MoE publication typeA3 Part of a book or another research book

Publication series

SeriesSpringerBriefs in Computer Science
VolumePart F1465
ISSN2191-5768

Keywords

  • Calibration accuracy
  • Local optimum
  • Measurement noises
  • Unscented Kalman filter
  • Variable step-size Levenberg-Marquardt algorithm

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