Intelligent fuzzy-neural pattern generation and control of a quadrupedal bionic inspection robot

被引：0

作者：

Sayfeddine, D. ^{[1
]}

Bulgakov, A. G. ^{[1
]}

机构：

[1] South Russian State Polytech Univ, 132 Prosveshenie Str, Novocherkassk, Russia

来源：

INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING, AUTOMATION AND CONTROL SYSTEMS 2016 | 2017年 / 177卷

关键词：

D O I：

10.1088/1757-899X/177/1/012010

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper represents a case study on 'single leg single step' pattern generation and control of quadrupedal bionic robot movement using intelligent fuzzy-neural approaches. The aim is to set up a flip-flop mechanical configuration allowing the robot to move one step forward. The same algorithm can be integrated to develop a full trajectory pattern as an interconnected task of global path planning for autonomous quadrupedal robots.

引用

页数：6

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