Realization of Self-Organizing Brain Device and its Application to Autonomous Mobile Robot

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In order to realize an artificial brain function of autonomous robots, we developed FPGA implementations of Self-Organizing Neural Networks, SOM of SOMs, Rough-Winner-Take-All Neural Networks and Adaptive Self-Organizing Maps. We proposed modified algorithms for this effective hardware implementation. The Adaptive Self-organizing Maps hardware was applied to a visual processing of autonomous robot, and achieved 10,000 times faster than a micro-processor implementation. Furthermore, we developed a dynamically reconfigurable platform for self-organizing neural networks based on hardware/software complex system to use the developed device conveniently.