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
Link To Document :
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