RT ontology development and human preference learning for assistive robotic service system

Lam Trung Ngo, Makoto Mizukawa

研究成果: Conference contribution

抄録

In service robotics systems, understanding the relationship between environmental objects and user intention is the key feature to provide suitable services according to context. RT Ontology has shown to be an efficient technique to represent this relationship, yet it contains non-context information. In this paper, we propose a novel method to develop the RT Ontology automatically and a learning algorithm to connect the context-free model of RT Ontology with human preference. Resulting system is capable of providing assistive contextual services to user, as well as learning human action preference.

本文言語English
ホスト出版物のタイトルICCAS 2010 - International Conference on Control, Automation and Systems
ページ385-388
ページ数4
出版ステータスPublished - 2010 12 1
イベントInternational Conference on Control, Automation and Systems, ICCAS 2010 - Gyeonggi-do, Korea, Republic of
継続期間: 2010 10 272010 10 30

出版物シリーズ

名前ICCAS 2010 - International Conference on Control, Automation and Systems

Conference

ConferenceInternational Conference on Control, Automation and Systems, ICCAS 2010
国/地域Korea, Republic of
CityGyeonggi-do
Period10/10/2710/10/30

ASJC Scopus subject areas

  • 人工知能
  • 制御およびシステム工学

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