首页 /研究 /Intelligent position/force controller for industrial robot manipulators-application of fuzzy neural networks
MANIPULATION

Intelligent position/force controller for industrial robot manipulators-application of fuzzy neural networks

Kazuo Kiguchi, Toshio Fukuda

发表年份
1997
引用次数
82

摘要

An intelligent controller, which consists of an intelligent planner and an adaptive fuzzy neural position/force controller, is proposed for a robot manipulator. The proposed controller deals with the human expert knowledge and skills for planning and control. In this paper, it is applied to the task of deburring with an unknown object. The effectiveness of the proposed controller is evaluated by computer simulations.

关键词

Controller (irrigation)Intelligent controlControl engineeringArtificial neural networkControl theory (sociology)Fuzzy logicRobotComputer sciencePosition (finance)Fuzzy control system

相关论文

查看 MANIPULATION 分类全部论文