DocumentCode
2516333
Title
Cellular neural network for mobile robot navigation
Author
Siemiatkowska, Barbara
Author_Institution
Inst. of Fundamental Technol. Res., Polish Acad. of Sci., Warsaw, Poland
fYear
1994
fDate
18-21 Dec 1994
Firstpage
285
Lastpage
290
Abstract
In this paper an application of cellular neural network for a mobile robot navigation is presented. The following problem is addressed: knowing the goal position and the robot position find a continuous and collision free path leading from the goal to the robot. The map of the environment is unknown. Two layer cellular neural network is used for path planning. Experimental results show feasibility of the proposed method and some practical advantages in comparison to the classical approaches
Keywords
cellular neural nets; computerised navigation; feedforward neural nets; mobile robots; path planning; position control; cellular neural network; collision free path; continuous path; experimental results; goal position; mobile robot navigation; path planning; robot position; two layer cellular neural network; Cellular neural networks; Conferences; Environmentally friendly manufacturing techniques; Mobile robots; Navigation; Neural networks; Orbital robotics; Path planning; Steel;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
Conference_Location
Rome
Print_ISBN
0-7803-2070-0
Type
conf
DOI
10.1109/CNNA.1994.381665
Filename
381665
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