Robots that learn to communicate: A developmental approach to personally and physically situated human-robot conversations

Naoto Iwahashi, Komei Sugiura, Ryo Taguchi, Takayuki Nagai, Tadahiro Taniguchi

研究成果: Conference contribution

9 被引用数 (Scopus)

抄録

This paper summarizes the online machine learning method LCore, which enables robots to learn to communicate with users from scratch through verbal and behavioral interaction in the physical world. LCore combines speech, visual, and tactile information obtained through the interaction, and enables robots to learn beliefs regarding speech units, words, the concepts of objects, motions, grammar, and pragmatic and communicative capabilities. The overall belief system is represented by a dynamic graphical model in an integrated way. Experimental results show that through a small, practical number of learning episodes with a user, the robot was eventually able to understand even fragmental and ambiguous utterances, respond to them with confirmation questions and/or actions, generate directive utterances, and answer questions, appropriately for the given situation. This paper discusses the importance of a developmental approach to realize personally and physically situated human-robot conversations.

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38-43
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 112010 11 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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