We propose the a self-organized learning model for generating robot actions. It is based on the ecological approach proposed by J. J. Gibson, which is attractive for robot systems from the technical viewpoint. Our model enables a robot to perform multiple tasks. We applied it to a simulation of a mobile robot and confirmed its effectiveness.
提出了一种用于机器人动作生成的自组织学习模型。它基于J. J. Gibson提出的生态方法，从技术角度来看，这对机器人系统很有吸引力。我们的模型使机器人能够执行多种任务。我们将其应用于移动机器人的仿真，验证了其有效性。
{"title":"Action Generation Model for Multiple Tasks Based on the Ecological Approach","authors":"M. Gouko, Koji Ito","doi":"10.1109/SASO.2008.29","DOIUrl":"https://doi.org/10.1109/SASO.2008.29","url":null,"abstract":"We propose the a self-organized learning model for generating robot actions. It is based on the ecological approach proposed by J. J. Gibson, which is attractive for robot systems from the technical viewpoint. Our model enables a robot to perform multiple tasks. We applied it to a simulation of a mobile robot and confirmed its effectiveness.","PeriodicalId":6458,"journal":{"name":"2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops","volume":"11 1","pages":"457-458"},"PeriodicalIF":0.0,"publicationDate":"2008-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89797191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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