Decentralized multi-robot simultaneous localization and mapping

R. Jaai, N. Chopra, B. Balachandran, H. Karki

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

1 Scopus citations

Abstract

In the simultaneous localization and mapping (SLAM) problem, one addresses the problem of using mobile sensor platforms or robotic systems to map unknown environments while simultaneously localizing the mobile systems relative to the map. Applications include mapping in oil storage tanks, oil pipes, search and rescue operations, surveillance operations, exploration operations. In this effort, a previously proposed multi-robot localization algorithm is extended to implement SLAM. The decentralized algorithm is demonstrated to work in dynamic robot networks. Experimental and numerical studies conducted with multiple networked mobile platforms are also discussed to validate the analytical findings.

Original languageBritish English
Title of host publicationSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011
DOIs
StatePublished - 2011
EventSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011 - San Diego, CA, United States
Duration: 7 Mar 201110 Mar 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7981
ISSN (Print)0277-786X

Conference

ConferenceSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011
Country/TerritoryUnited States
CitySan Diego, CA
Period7/03/1110/03/11

Keywords

  • Decentralized cooperative SLAM
  • Multi-robot SLAM

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