Active learning of confidence measure function in robot language acquisition framework

Komei Sugiura, Naoto Iwahashi, Hideki Kashioka, Satoshi Nakamura

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

13 Citations (Scopus)

Abstract

In an object manipulation dialogue, a robot may misunderstand an ambiguous command from a user, such as "Place the cup down (on the table)," potentially resulting in an accident. Although making confirmation questions before all motion will decrease the risk of this failure, the user will find it more convenient if confirmation questions are not made under trivial situations. This paper proposes a method for estimating ambiguity in the commands by introducing an active learning framework with Bayesian logistic regression to human-robot spoken dialogue. We conducted physical experiments in which a user and a manipulator-based robot communicated in spoken language to manipulate toys.

Original languageEnglish
Title of host publicationIEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Conference Proceedings
Pages1774-1779
Number of pages6
DOIs
Publication statusPublished - 2010 Dec 1
Externally publishedYes
Event23rd IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Taipei, Taiwan, Province of China
Duration: 2010 Oct 182010 Oct 22

Publication series

NameIEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Conference Proceedings

Other

Other23rd IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010
CountryTaiwan, Province of China
CityTaipei
Period10/10/1810/10/22

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Control and Systems Engineering

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  • Cite this

    Sugiura, K., Iwahashi, N., Kashioka, H., & Nakamura, S. (2010). Active learning of confidence measure function in robot language acquisition framework. In IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Conference Proceedings (pp. 1774-1779). [5649754] (IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Conference Proceedings). https://doi.org/10.1109/IROS.2010.5649754