Application of the self organizing maps for visual reinforcement learning of mobile robot

  • Authors:
  • Hiroshi Dozono;Ryouhei Fujiwara;Takeshi Takahashi

  • Affiliations:
  • Faculty of Science and Engineering, Saga University, Saga, Japan;Faculty of Science and Engineering, Saga University, Saga, Japan;Faculty of Science and Engineering, Saga University, Saga, Japan

  • Venue:
  • AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
  • Year:
  • 2008

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Abstract

Recently, the camera systems becomes more available for mobile robots. But scene analysis for generating control signals is still difficult and consumes large computational power. For this problem, the control method which generates the control signals directly from the raw camera images will be effective. In this paper, we use the reinforcement learning using the camera image as input data. For the division of the states represented with camera images, self organizing map is introduced. The division of the states and learning of the control signal using reinforcement learning are executed simultaneously on the map. For examining the performance of this algorithm, we made the simulation space using OpenGL.