State space construction by attention control

Hiroshi Ishiguro, Masatoshi Kamiharako, Toru Ishida

研究成果: Conference article査読

5 被引用数 (Scopus)


In order to understand cognitive aspects of autonomous robots, it is fruitful to develop a mechanism by which the robot autonomously analyzes physical sensor data and construct a state space. This paper proposes a coherent approach to constructing such a robot oriented state space by statistically analyzing sensor patterns and rewards given as the result of task executions. In the state space construction, the robot creates sensor pattern classifiers called Empirically Obtained Perceivers (EOPs) which, when combined, represent internal states of the robot. A novel feature of this method is that the EOP directs attention to select necessary information, and the state space is obtained with the attention control mechanism using EOPs. We have confirmed that the robot can effectively construct state spaces through its vision sensor and execute a navigation task with the obtained state spaces in a complicated simulated world.

ジャーナルIJCAI International Joint Conference on Artificial Intelligence
出版ステータスPublished - 1999 12月 1
イベント16th International Joint Conference on Artificial Intelligence, IJCAI 1999 - Stockholm, Sweden
継続期間: 1999 7月 311999 8月 6

ASJC Scopus subject areas

  • 人工知能


「State space construction by attention control」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。