Autonomous navigation in unknown environmentusing sliding mode SLAM and genetic algorithm

被引：1

作者：

Ortiz, Salvador ^{[1
]}

Yu, Wen ^{[1
]}

机构：

[1] Natl Polytech Inst, Dept Control Automat, Mexico City 07360, Mexico

来源：

INTELLIGENCE & ROBOTICS | 2021年 / 1卷 / 02期

关键词：

Autonomous navigation; sliding mode; SLAM; genetic algorithm; PARTICLE SWARM OPTIMIZATION; MOBILE-ROBOT NAVIGATION; SIMULTANEOUS LOCALIZATION; PATH; COMPUTATION; FILTER; LOOP;

D O I：

10.20517/ir.2021.09

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, sliding mode control is combined with the classical simultaneous localization and mapping (SLAM)method. This combination can overcome the problem of bounded uncertainties in SLAM. With the help of geneticalgorithm, our novel path planning method shows many advantages compared with other popular methods

引用

页码：131 / 150

页数：92

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