Adaptive Robotics
Master thesis
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http://hdl.handle.net/11250/251352Utgivelsesdato
2009Metadata
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Sammendrag
This report explores continuous-time recurrent neural networks (CTRNNs) and their utility in the field of adaptive robotics. The networks herein are evolved in a simulated environment and evaluated on a real robot. The evolved CTRNNs are presented with simple cognitive tasks and the results are analyzed in detail.