| Budget Amount *help |
¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2014: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2013: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Outline of Final Research Achievements |
In order to design the robot controller in a robotic swarm by an evolutionary artificial neural network, two types of computational resources are provided for conducting simulated experiments. In this project, we have done the first step toward the areas of evaluation and analysis of swarm intelligence in evolutionary robotic swarms. We have also done the physical robotic swarm experiments with faster processing to develop expected swarm behavior. In addition, the results of the artificial evolution of robotic swarm have been transferred to the physical robotic swarm to develop the similar swarm behavior. We believe that this project contributed to find the basics of the methodology of swarm intelligence by artificial evolution.
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