Intelligent control of humanoid robots using neural networks

被引：0

作者：

Katic, D ^{[1
]}

Vukobratovic, M ^{[1
]}

机构：

[1] Mihailo Pupin Inst, Robot Lab, Belgrade, Serbia Monteneg, Serbia

来源：

NEUREL 2004: SEVENTH SEMINAR ON NEURAL NETWORK APPLICATIONS IN ELECTRICAL ENGINEERING, PROCEEDINGS | 2004年

关键词：

intelligent control; humanoid robots; Neural Networks; learning;

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 focusses on the application of connectionist (neural networks) control techniques and their hybrid forms (neuro-fuzzy networks and neuro-genetic algorithms) in the area of humanoid robotic systems. It represents an attempt to cover the basic principles and concepts of connectionist learning control in humanoid robotics, with an outline of a number of recent algorithms used in advanced control of humanoid robots. Overall, this survey covers a selection of examples that will serve to demonstrate the advantages and disadvantages of the application of connectionist control techniques.

引用

页码：31 / 35

页数：5

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