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文章基本信息

  • 标题:Perceptual Perspective Taking and Action Recognition
  • 本地全文:下载
  • 作者:Matthew Johnson ; Yiannis Demiris
  • 期刊名称:International Journal of Advanced Robotic Systems
  • 印刷版ISSN:1729-8806
  • 电子版ISSN:1729-8814
  • 出版年度:2005
  • 卷号:2
  • 期号:4
  • DOI:10.5772/5775
  • 出版社:SAGE Publications
  • 摘要:Robots that operate in social environments need to be able to recognise and understand the actions of other robots, and humans, in order to facilitate learning through imitation and collaboration. The success of the simulation theory approach to action recognition and imitation relies on the ability to take the perspective of other people, so as to generate simulated actions from their point of view. In this paper, simulation of visual perception is used to re-create the visual egocentric sensory space and egocentric behaviour space of an observed agent, and through this increase the accuracy of action recognition. To demonstrate the approach, experiments are performed with a robot attributing perceptions to and recognising the actions of a second robot.
  • 关键词:perspective taking ; action recognition ; mobile robotics
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