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  • 标题:Spontaneous Criterion Generation for Robot's Behavior by the Measurement Oriented Model
  • 本地全文:下载
  • 作者:Jun MUKAI ; Michita IMAI ; Yuichiro ANZAI
  • 期刊名称:知能と情報
  • 印刷版ISSN:1347-7986
  • 电子版ISSN:1881-7203
  • 出版年度:2005
  • 卷号:17
  • 期号:3
  • 页码:314-324
  • DOI:10.3156/jsoft.17.314
  • 出版社:Japan Society for Fuzzy Theory and Intelligent Informatics
  • 摘要:In this paper, we propose a new method, called IOA, for variousbehaviors of communication robots. If robots behave according to ruledesigned a priori, it is too easy for human to predict the robot's behaviors. On the other hand, randomly selected actions lead chaosbehaviors, which prevents communication. IOA generates its own criteriafor robot's behaviors spontaneously through observation of otherrobots' behaviors and environment. In particular, the generatedcriterion is stable in short term but various in long term. Therefore, robots with IOA can generate consistent behaviors in short term, butcan change their rules over time. We implemented IOA on a humanoidrobot, then we confirmed it generates various criteria for behaviors.
  • 关键词:Communication Robots ; Variety of Behaviors ; Spontaneous Behavior ; Indefinite Observation
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