An Effective Path Planning of a Mobile Robot

被引：1

作者：

Pattanayak, S. ^{[1
]}

Sahoo, S. C. ^{[2
]}

Choudhury, B. B. ^{[2
]}

机构：

[1] Indira Gandhi Inst Technol, Dept Prod Engn, Dhenkanal 759146, Odisha, India

[2] Indira Gandhi Inst Technol, Dept Mech Engn, Sarang 759146, Odisha, India

来源：

SOFT COMPUTING IN DATA ANALYTICS, SCDA 2018 | 2019年 / 758卷

关键词：

Mobile robot; Path planning; PSO;

D O I：

10.1007/978-981-13-0514-6_18

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recent advances in mobile robot path planning are turns into a prevalence research field. This paper proffers a metaheuristic approach to optimize the mobile robot path length by adopting particle swarm optimization (PSO) algorithm. This approach reckons the curtail path length between staring and goal point for the mobile robot without any physical contact to the obstacles. A static environment with known obstacles position is designed for evaluation of path length by this method. Total nine numbers of obstacles are taken into consideration for this study. The program for PSO optimization approach was written using MATLAB software.

引用

页码：175 / 182

页数：8

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