Active learning for generating motion and utterances in object manipulation dialogue tasks

Komei Sugiura, Naoto Iwahashi, Hisashi Kawai, Satoshi Nakamura

研究成果: Conference contribution

抄録

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 execution 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 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 using spoken language to manipulate objects.

本文言語English
ホスト出版物のタイトルDialog with Robots - Papers from the AAAI Fall Symposium, Technical Report
出版社AI Access Foundation
ページ115-120
ページ数6
ISBN(印刷版)9781577354871
出版ステータスPublished - 2010
外部発表はい
イベント2010 AAAI Fall Symposium - Arlington, VA, United States
継続期間: 2010 11月 112010 11月 13

出版物シリーズ

名前AAAI Fall Symposium - Technical Report
FS-10-05

Conference

Conference2010 AAAI Fall Symposium
国/地域United States
CityArlington, VA
Period10/11/1110/11/13

ASJC Scopus subject areas

  • 工学(全般)

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