Low cost sensing and communication system for rotor-craft

Marc Gyongyosi, Alexander Daley, Blake Resnick, Michael Rubenstein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Local communication and sensing between individuals are frequently used for control in multi-robot systems. However, in current flying multi-robot systems, such as swarms of quadrotors, these abilities are often only emulated using global communication and global position sensing. This is mainly due to the complexity, cost, weight, or power requirements for such sensors. Here we present a system that can allow for more natural swarming behaviors by enabling direct bearing and elevation sensing, as well as communication between nearby rotor-craft. This system takes advantage of the existing motion of the vehicles propellers, is low power, and can be adapted to existing vehicles with only simple modifications. We describe the system, present a working prototype, show performance of this prototype, and conclude by describing future work integrating the system into a rotor-craft swarm.

Original languageEnglish (US)
Title of host publicationIROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4255-4259
Number of pages5
ISBN (Electronic)9781538626825
DOIs
StatePublished - Dec 13 2017
Event2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017 - Vancouver, Canada
Duration: Sep 24 2017Sep 28 2017

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
Volume2017-September
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Other

Other2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017
CountryCanada
CityVancouver
Period9/24/179/28/17

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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