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  • 标题:Neural Processing of Auditory Signals and Modular Neural Control for Sound Tropism of Walking Machines
  • 作者:Poramate Manoonpong ; Frank Pasemann ; Joern Fischer
  • 期刊名称:International Journal of Advanced Robotic Systems
  • 印刷版ISSN:1729-8806
  • 电子版ISSN:1729-8814
  • 出版年度:2005
  • 卷号:2
  • 期号:3
  • DOI:10.5772/5786
  • 语种:English
  • 出版社:SAGE Publications
  • 摘要:The specialized hairs and slit sensillae of spiders (Cupiennius salei) can sense the airflow and auditory signals in a low-frequency range. They provide the sensor information for reactive behavior, like e.g. capturing a prey. In analogy, in this paper a setup is described where two microphones and a neural preprocessing system together with a modular neural controller are used to generate a sound tropism of a four-legged walking machine. The neural preprocessing network is acting as a low-pass filter and it is followed by a network which discerns between signals coming from the left or the right. The parameters of these networks are optimized by an evolutionary algorithm. In addition, a simple modular neural controller then generates the desired different walking patterns such that the machine walks straight, then turns towards a switched-on sound source, and then stops near to it.
  • 关键词:recurrent neural networks; neural control; auditory signal processing; autonomous robots; walking machines
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