Cellular neural network for mobile robot navigation

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.<<ETX>>

[1]  Barbara Siemiatkowska.  A highly parallel method for mapping and navigation of an autonomous mobile robot , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[2]  Leon O. Chua,et al.  Cellular neural networks: applications , 1988 .

[3]  Alberto Elfes,et al.  A distributed control architecture for an autonomous mobile robot , 1986, Artif. Intell. Eng..

[4]  Lin-Bao Yang,et al.  Cellular neural networks: theory , 1988 .

[5]  Slawomir Kuklinski,et al.  Cellular neural network application to moire pattern filtering , 1990, IEEE International Workshop on Cellular Neural Networks and their Applications.

[6]  Luc Steels,et al.  Exploiting analogical representations , 1990, Robotics Auton. Syst..