Soft Computing-Based Control System of Intelligent Robot Navigation

被引：0
|
作者：
Volna, Eva [1 ]
Kotyrba, Martin [1 ]
Bradac, Vladimir [1 ]
机构：
[1] Univ Ostrava, Dept Informat & Comp, Ostrava, Czech Republic
来源：
INTELLIGENT INFORMATION AND DATABASE SYSTEMS (ACIIDS 2020), PT II | 2020年 / 12034卷
关键词：
Control system; Autonomous robot; Artificial neural network; Fuzzy Logic System;
D O I：
10.1007/978-3-030-42058-1_32
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 focuses on the study of intelligent navigation techniques which are capable of navigating a mobile robot autonomously in unknown environments in real-time. We primarily focused on a soft computing-based control system of autonomous robot behaviour. The soft computing methods included artificial neural networks and fuzzy logic. Using them, it was possible to control autonomous robot behaviour. Based on defined behaviour, this device was able to deduce a corresponding reaction to an unknown situation. Real robotic equipment was represented by a Lego Mindstorms EV3 robot. The outcomes of all experiments were analysed in the conclusion.
引用
收藏
页码：379 / 390
页数：12
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