Comparative study of neural networks in path planning for catering robots

被引：9

作者：

Bharadwaj, H. ^{[1
]}

Kumar, Vinodh E. ^{[1
]}

机构：

[1] Vellore Inst Technol, Sch Elect Engn, Vellore 632014, Tamil Nadu, India

来源：

INTERNATIONAL CONFERENCE ON ROBOTICS AND SMART MANUFACTURING (ROSMA2018) | 2018年 / 133卷

关键词：

Neural network; Path planning; catering; robotics;

D O I：

10.1016/j.procs.2018.07.051

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Neural Networks (NN) have been the forefront of growth in recent years due to their variety, the opportunities they provide and most importantly their dynamic nature. A control system for catering robots for path planning is proposed with the help of neural networks as a comparative study. Various parameters such as training time, performance of the network, forecasted distance are considered after iterating to obtain the optimal dataset using Probabilistic Roadmap (PRM) algorithm. Approximately 36% improvement in forecasted distance was obtained using neural networks when compared to the traditional PRM algorithm. (C) 2018 The Authors. Published by Elsevier Ltd.

引用

页码：417 / 423

页数：7

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