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Distributed algorithm for robotic network self-deployment in indoor environments usingwireless signal strength

  • Renato Miyagusuku
  • , Atsushi Yamashita
  • , Hajime Asama
  • Tokyo University

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

Abstract

Mobile robots with wireless capabilities can enable network connectivity over large areas by retransmitting wireless signals from a ground station. Our goal is, for such robotic networks, to enhance current teleoperated robots’ ability to perform reconnaissance or assist human first responders on victims’ search and rescue operations. On these missions, uninterrupted communications between teleoperated robots and their human operators are essential. In order to maximize the teleoperated robots’ working area, the robotic network has to deploy itself, in an unknown and potentially hazardous environment, spreading as much as possiblewithout losing network connectivity. In this paper, we consider an urban search and rescue setting; and present a distributed algorithm that allows simple mobile robots to self-deploy and create robotic networks, without the need of advanced self-localization capabilities nor prior knowledge of the environment.

Original languageEnglish
Title of host publicationIntelligent Autonomous Systems - Proceedings of the 13th International Conference IAS, 2014
EditorsHiroaki Yamaguchi, Nathan Michael, Karsten Berns, Emanuele Menegatti
PublisherSpringer Verlag
Pages1491-1502
Number of pages12
ISBN (Print)9783319083377
DOIs
StatePublished - 2015
Externally publishedYes
Event13th International Conference on Intelligent Autonomous Systems, IAS 2014 - Padova, Italy
Duration: 15 Jul 201418 Jul 2014

Publication series

NameAdvances in Intelligent Systems and Computing
Volume302
ISSN (Print)2194-5357

Conference

Conference13th International Conference on Intelligent Autonomous Systems, IAS 2014
Country/TerritoryItaly
CityPadova
Period15/07/1418/07/14

Keywords

  • Multi-agent systems
  • Networked robotics
  • Wireless signal strength

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