Analysis of long-term and large-scale experiments on robot dialogues using a cloud robotics platform

Komei Sugiura, Koji Zettsu

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

2 Citations (Scopus)

Abstract

To build conversational robots, roboticists are required to have deep knowledge of both robotics and spoken dialogue systems. Unlike using stand-alone speech recognition/ synthesis toolkits, a cloud robotics platform for humanrobot communication enables high-quality speech recognition and synthesis that is optimized to human-robot interactions. This is challenging because we need to build a wide variety of functionalities ranging from a stable cloud platform to highquality multilingual speech recognition and synthesis engines. From this background, we constructed rospeex [1], which is a cloud robotics platform for multilingual spoken dialogues with robots. Over 20,000 unique users have used rospeex in the two years since it was launched. In this paper, we propose a method to reduce the response time in rospeex; and analyze its effectiveness. We also analyze the server logs of rospeex that we have collected.

Original languageEnglish
Title of host publicationHRI 2016 - 11th ACM/IEEE International Conference on Human Robot Interaction
PublisherIEEE Computer Society
Pages525-526
Number of pages2
ISBN (Electronic)9781467383707
DOIs
Publication statusPublished - 2016 Apr 12
Externally publishedYes
Event11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016 - Christchurch, New Zealand
Duration: 2016 Mar 72016 Mar 10

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
Volume2016-April
ISSN (Electronic)2167-2148

Conference

Conference11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016
Country/TerritoryNew Zealand
CityChristchurch
Period16/3/716/3/10

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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