Implementing Robust Voice-Control for Human Robot Interaction for Autonomous Robot Guides

Mohammed Elmzaghi, Muhammad Fahad, Yi Guo

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

1 Scopus citations

Abstract

The integration of robotic systems in the form of personal guides into society is a paradigm shift that will disrupt how humans interact with robots. A significant element for personal robot guides and effective human-robot interaction (HRI) is the use of speech input from the user. Current methods lack robustness in their interpretation of user voice input, making it difficult for effective communication between humans and robot. Having accurate and robust speech recognition incorporated into robotic systems allows for more natural HRI. This paper discusses the use of high accuracy Google Cloud Speech Recognition for robot navigation in a given environment.

Original languageEnglish
Title of host publication2019 IEEE MIT Undergraduate Research Technology Conference, URTC 2019
ISBN (Electronic)9781728158181
DOIs
StatePublished - 2019
Event2019 IEEE MIT Undergraduate Research Technology Conference, URTC 2019 - Cambridge, United States
Duration: 11 Oct 201913 Oct 2019

Publication series

Name2019 IEEE MIT Undergraduate Research Technology Conference, URTC 2019

Conference

Conference2019 IEEE MIT Undergraduate Research Technology Conference, URTC 2019
Country/TerritoryUnited States
CityCambridge
Period11/10/1913/10/19

Keywords

  • Human-Robot Interaction (HRI)
  • personal robot guides
  • robust voice processing
  • voice input

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