精密工学会学術講演会講演論文集
2012 JSPE Autumn Conference
セッションID: F39
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A Study on Falling Cat Landing Problem Using Composite Neuroevolution
*徐 卓然山本 雅人古川 正志
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Cat has ability to safely land in the free fall. In this research, we first construct a virtual cat robot by Physics Modeling. Then we use Composite Neuroevolution to optimize its controller. Composite Neuroevolution optimizes multiple Artificial Neural Networks which are integrated into a complete controller in a pre-defined way. On the contrast, common Neuroevolution algorithms, for example CMA-ES, NEAT, CNE, ESP, optimize one Artificial Neural Network. In our experiment, only Composite Neuroevolution can converge. The result shows the landing behavior is achieved by our method.
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© 2012 The Japan Society for Precision Engineering
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