DTMF audio communication for nao robots

Kyle Poore, Joseph Masterjohn, Andreas Seekircher, Pedro Peña, Ubbo E Visser

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


We propose an alternative to Wi-Fi for robotic communication, as its increased use in a competition environment has lead to highly overlapping and interfering networks. This interference often causes unreliable transmission of data, which affects teams' ability to coordinate complex behaviors. Our method uses fixed length Dual Tone Multi Frequency (DTMF) messages and uses a basic packet structure designed to reduce data corruption as a result of noise. We conducted twelve different experiments varying the distance between robots and message format, as well as whether the robots are walking or sitting silently. The results show that while this method appears to be sensitive to room reverberation and multipath effects, it has very low data corruption rates, which makes it suitable for use in some applications.

Original languageEnglish (US)
Title of host publicationFLAIRS 2017 - Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference
PublisherAAAI Press
Number of pages6
ISBN (Electronic)9781577357872
StatePublished - 2017
Event30th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2017 - Marco Island, United States
Duration: May 22 2017May 24 2017


Other30th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2017
Country/TerritoryUnited States
CityMarco Island

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software


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