Robot trajectory prediction and recognition based on a computational mirror neurons model

Junpei Zhong, Cornelius Weber, Stefan Wermter

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

Mirror neurons are premotor neurons that are considered to play a role in goal-directed actions, action understanding and even social cognition. As one of the promising research areas in psychology, cognitive neuroscience and cognitive physiology, understanding mirror neurons in a social cognition context, whether with neural or computational models, is still an open issue [5]. In this paper, we mainly focus on the action understanding aspect of mirror neurons, which can be regarded as a fundamental function of social cooperation and social cognition. Our proposed initial architecture is to learn a simulation of the walking pattern of a humanoid robot and to predict where the robot is heading on the basis of its previous walking trajectory.

本文言語English
ホスト出版物のタイトルArtificial Neural Networks and Machine Learning, ICANN 2011 - 21st International Conference on Artificial Neural Networks, Proceedings
ページ333-340
ページ数8
6792 LNCS
PART 2
DOI
出版ステータスPublished - 2011
外部発表はい
イベント21st International Conference on Artificial Neural Networks, ICANN 2011 - Espoo
継続期間: 2011 6 142011 6 17

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 2
6792 LNCS
ISSN(印刷版)03029743
ISSN(電子版)16113349

Other

Other21st International Conference on Artificial Neural Networks, ICANN 2011
CityEspoo
Period11/6/1411/6/17

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)
  • 理論的コンピュータサイエンス

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