Evolving neurocontrollers in the RoboCup domain

被引：0
|
作者：
Zahedi, K.
Hülse, M.
Pasemann, F.
机构：
来源：
VDI Berichte | 2004年 / 1841期
关键词：
Actuators - Cameras - Computer simulation - Data processing - Learning algorithms - Mobile robots - Robustness (control systems) - Sensors - Transfer functions - Vision;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
An evolutionary robotics approach was used to develop a neural control for an effective behavior of a RoboCup goalkeeper. The goalkeeper was considered as one of the key players in RoboCup competitions. The structure evolution presented a variety of different neural network topologies, with a higher number of hidden neurons and synapses. The presented neural network outperformed or showed equal performance compared to the other networks, but with a minimal structure.
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页码：63 / 70
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