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On the Construction of Kinematic Confidence Ellipsoids for Uncertain Spatial Displacements

  • Stony Brook University
  • Indiana University-Purdue University Indianapolis
  • University of Texas Southwestern Medical Center

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

3 Scopus citations

Abstract

This paper deals with the problem of estimating confidence regions of a set of uncertain spatial displacements for a given level of confidence or probabilities. While a direct application of the commonly used statistic methods to the coordinates of the moving frame is straightforward, it is also the least effective in that it grossly overestimate the confidence region. Based on the dual-quaternion representation, this paper introduces the notion of the kinematic confidence ellipsoids as an alternative to the existing method called rotation and translation confidence limit (RTCL). An example is provided to demonstrate how the kinematic confidence ellipsoids can be computed.

Original languageEnglish
Title of host publicationAdvances in Mechanism and Machine Science - Proceedings of the 16th IFToMM World Congress 2023—Volume 1
EditorsMasafumi Okada
PublisherSpringer Science and Business Media B.V.
Pages777-785
Number of pages9
ISBN (Print)9783031457043
DOIs
StatePublished - 2023
Event16th International Federation of Theory of Machines and Mechanisms World Congress, IFToMM WC 2023 - Tokyo, Japan
Duration: Nov 5 2023Nov 9 2023

Publication series

NameMechanisms and Machine Science
Volume147
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

Conference16th International Federation of Theory of Machines and Mechanisms World Congress, IFToMM WC 2023
Country/TerritoryJapan
CityTokyo
Period11/5/2311/9/23

Keywords

  • Confidence ellipsoids
  • Confidence level
  • Mean and variance
  • Spatial displacements

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