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Connecting robots with concurrent exploration of control and communications

  • Zhe Yan
  • , Xin Wang
  • , Daegeun Yoon
  • , Dongliang Xie
  • Stony Brook University

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

Abstract

Multi-robot systems (MRS) have many applications and the efficient operation of MRS relies on coordination of robots. However, it is difficult to build network connections among randomly distributed robots in the presence of robot movements and weak wireless channels. In this work, we propose to jointly exploit communications and motion control to efficiently establish robot connections. To achieve this goal, we concurrently use MUSIC and particle filter to more accurately and efficiently estimate robot signal directions, built on which signal strength-based potential field is formed to control robot motion to establish and maintain communication links. Our studies based on test bed and simulations demonstrate the effectiveness of our algorithm in networking robots, with much higher number of robots connected compared to peer algorithms.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages352-360
Number of pages9
ISBN (Electronic)9781467391009
DOIs
StatePublished - Dec 28 2015
Event12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2015 - Dallas, United States
Duration: Oct 19 2015Oct 22 2015

Publication series

NameProceedings - 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2015

Conference

Conference12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2015
Country/TerritoryUnited States
CityDallas
Period10/19/1510/22/15

Keywords

  • Algorithm
  • Communication
  • Robots

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