Study of Intelligent Impedance Control for Robot Arm

被引：0
|
作者：
Sato, Yoshishige
机构：
来源：
INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFTWARE ENGINEERING (AISE 2014) | 2014年
关键词：
Adaptive force control; Fuzzy neural network; Intelligent impedance control;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents study of adaptive force control that takes into account object characteristics using a fuzzy neural network. This study applies fuzzy theory to position control and force control, similar to those actually implemented by industrial robots, to enable automatic establishment of optimum parameters for different environments and autonomous, flexible motion.
引用
收藏
页码：151 / 155
页数：5
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