DocumentCode
2859194
Title
Robot path planning for maze navigation
Author
Dracopoulos, Dimitris C.
Author_Institution
Dept. of Comput. Sci., Brunel Univ., Uxbridge, UK
Volume
3
fYear
1998
fDate
4-9 May 1998
Firstpage
2081
Abstract
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 nonsmoothness of data. Here the same maze problem is revisited
Keywords
mobile robots; multilayer perceptrons; path planning; maze navigation; multilayer perceptrons; robot path planning; Application software; Artificial intelligence; Computer science; Humans; Navigation; Orbital robotics; Path planning; Robustness; Service robots; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location
Anchorage, AK
ISSN
1098-7576
Print_ISBN
0-7803-4859-1
Type
conf
DOI
10.1109/IJCNN.1998.687180
Filename
687180
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