Situated spoken dialogue with robots using active learning

Komei Sugiura, Naoto Iwahashi, Hisashi Kawai, Satoshi Nakamura

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

In a human-robot spoken dialogue, the robot may misunderstand an ambiguous command from the user, such as 'Place the cup down (on the table)', thus running the risk of an accident. Although asking confirmation questions before the execution of any motion will decrease the risk of such failure, the user will find it more convenient if confirmation questions are not used in trivial situations. This paper proposes a method for estimating ambiguity in commands by introducing an active learning scheme with Bayesian logistic regression to human-robot spoken dialogue. We conduct physical experiments in which a user and a manipulator-based robot communicate using spoken language to manipulate objects.

Original languageEnglish
Pages (from-to)2207-2232
Number of pages26
JournalAdvanced Robotics
Volume25
Issue number17
DOIs
Publication statusPublished - 2011

Keywords

  • Active learning
  • confidence
  • object manipulation dialogue
  • robot language acquisition

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Hardware and Architecture
  • Computer Science Applications

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