Adaptive Control of Biped Robots Based on Gennet

被引：0
|
作者：
Miao Kehua [1 ]
Miao Xiao [1 ]
Zou Lincen [1 ]
机构：
[1] Xiamen Univ, Dept Automat, Xiamen, Peoples R China
来源：
PROCEEDINGS OF 2012 7TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION, VOLS I-VI | 2012年
关键词：
Genetic Neural Network; self-adaptive; biped robots; walking control;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The dynamic walking stability of robots is a key to biped robots study. Due to the uncertainty of outside environment, adaptability has become a priority in the research of dynamic walking of robots. In order to realize the dynamic walking of robots, a Genetic Neural Network is used to develop an Adaptive Control Neural Network. A better walking result is realized by the Neural Network trained by abnormal walking samples and self-adaptive fitness formulation.
引用
收藏
页码：1018 / 1020
页数：3
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