A framework for integrating sensory information in a humanoid robot

I. Fermin*, Hiroshi G. Okuno, H. Ishiguro, H. Kitano

*この研究の対応する著者

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

In this paper, we propose a framework towards the integration of information sensors based on the idea that the stimulus perceived through different sensors are spatial-time correlated for a short time period. Applications in robotics need to be able to process information from multiple sensors, for instance, in the case of a visible talking person. How can we relate those kind of information in a simple way, without making use of high level representation? This is the question that we want to address. A new framework based on correlation measure at low level data information is proposed. This low level correlation measure can be used as integration data engine to support high level task description. In this paper a coherent approach from sensor level to task level for developing a robot which can handle a large number of sensors and actuators is developed. An example how this approach can be used for a visual-sound integration task is also presented.

本文言語English
ホスト出版物のタイトルIEEE International Conference on Intelligent Robots and Systems
ページ1748-1753
ページ数6
3
出版ステータスPublished - 2000
外部発表はい
イベント2000 IEEE/RSJ International Conference on Intelligent Robots and Systems - Takamatsu
継続期間: 2000 10月 312000 11月 5

Other

Other2000 IEEE/RSJ International Conference on Intelligent Robots and Systems
CityTakamatsu
Period00/10/3100/11/5

ASJC Scopus subject areas

  • 制御およびシステム工学

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