Neural robot path planning: The maze problem

被引：3
|
作者：
Dracopoulos, DC [1 ]
机构：
[1] Brunel Univ, Dept Informat Syst & Comp, Uxbridge UB8 3PH, Middx, England
来源：
NEURAL COMPUTING & APPLICATIONS | 1998年 / 7卷 / 02期
关键词：
autonomous robots; maze navigation; multilayer perceptrons; path planning;
D O I：
10.1007/BF01414163
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The importance of path planning is very significant in the field of robotics. This paper presents the application of multilayer perceptrons to the robot path planning problem, and in particular to the task of maze navigation. Previous published results implied that the training of feedforward multilayered networks failed, because of the non-smoothness of data. Here the path planning problem is reconsidered, and it is shown that multilayer perceptrons are able to learn the task successfully.
引用
收藏
页码：115 / 120
页数：6
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