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Recognizing Environments from Action Sequences Using a Self-Organizing Map
自己組織化マップを用いた移動ロボットによる行為系列からの環境認識
1999
Journal of the Robotics Society of Japan
自己組織化マップを用いた移動ロボットによる行為系列からの環境認識
In this paper, we describe development of a mobile robot which does unsupervised learning for recognizing environments from action sequences. Most studies on recognizing an environment have tried to build precise geometric maps with high sensitive and global sensors. However such precise and global information may not be obtained in real environments. Furthermore unsupervised-learning is necessary for recognition in unknown environments without help of a teacher. Thus we attempt to build a
doi:10.7210/jrsj.17.855
fatcat:wbg4grs23jhyveym2v55sfbqha