Survey of connectionist control algorithms for humanoid robots

被引：0

作者：

Katic, DM ^{[1
]}

Vukobratovic, MK ^{[1
]}

机构：

[1] Mihailo Pupin Inst, Robot Lab, Belgrade 11060, Serbia Monteneg

来源：

EUROCON 2005: THE INTERNATIONAL CONFERENCE ON COMPUTER AS A TOOL, VOL 1 AND 2 , PROCEEDINGS | 2005年

关键词：

humanoid robots; intelligent control; learning; neural networks;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper focuses 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.

引用

页码：310 / 313

页数：4

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