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Cooperative state estimation in vision-based robot formation control via a consensus method

  • Cook Joshua*
  • , Hu Guoqiang
  • , Feng Zhi
  • *Corresponding author for this work
  • Textron, Inc.
  • Nanyang Technological University

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

Abstract

In this paper, we study a cooperative state estimation problem that is crucial to vision-based formation control of mobile robots. Cameras mounted on the robots are employed to make relative measurements within a formation of robots. Each robot can only measure part of the relative state information, while the rest of the information is measured by other robots. We design a robust consensus method to address this cooperative state estimation problem so that the measurements made by each individual robot are integrated via an information exchange method to obtain a complete description of the formation. This method is then applied to vision-based triangular formation control of mobile robots and verified using experiments.

Original languageEnglish
Title of host publicationProceedings of the 31st Chinese Control Conference, CCC 2012
Pages6461-6466
Number of pages6
StatePublished - 2012
Externally publishedYes
Event31st Chinese Control Conference, CCC 2012 - Hefei, China
Duration: 25 Jul 201227 Jul 2012

Publication series

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

Conference

Conference31st Chinese Control Conference, CCC 2012
Country/TerritoryChina
CityHefei
Period25/07/1227/07/12

Keywords

  • Cooperative state estimation
  • consensus
  • multi-robot systems

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