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Multi-robot Cooperative Localization Using Anonymous Relative-Bearing Measurements

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

Abstract

In this paper, a cooperative localization problem is investigated for a multi-robot system with anonymous relative bearing measurements among robots. A cooperative localization method is proposed to obtain global poses of a group of robots. First, a data association algorithm is developed to determine the identities of each relative bearing measurement. Then a centralized EFK is given to estimate the pose of each robot. Finally, the proposed method is validated by simulation results.

Original languageEnglish
Title of host publicationProceedings of the 41st Chinese Control Conference, CCC 2022
EditorsZhijun Li, Jian Sun
PublisherIEEE Computer Society
Pages3162-3167
Number of pages6
ISBN (Electronic)9789887581536
DOIs
StatePublished - 2022
Event41st Chinese Control Conference, CCC 2022 - Hefei, China
Duration: 25 Jul 202227 Jul 2022

Publication series

NameChinese Control Conference, CCC
Volume2022-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference41st Chinese Control Conference, CCC 2022
Country/TerritoryChina
CityHefei
Period25/07/2227/07/22

Keywords

  • anonymous bearing measurements
  • cooperative localization
  • data association

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