Cellular Neural Networks for Navigation of a Mobile Robot
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This paper summarizes applications of cellular neural networks to autonomous mobile robot navigation tasks, which have been developed at the Institute of Fundamental Technological Research. They include map building, path planning and self-positioning of an indoor robot equipped with a laser range sensor. Efficiency of navigation based on cellular neural networks has been experimentally verified in a variety of natural, partially structured environments.
KeywordsMobile Robot Path Planning Cellular Neural Network Layer Neuron Autonomous Navigation
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- 4.Dubrawski A., Siemiatkowska B. A Neural Method for Self-Localization of a Mobile Robot Equipped with a 2-D Scanning Laser Range Finder, 5th International Symposium on Intelligent Robotic Systems SIRS’97, 159–168, Stockholm, Sweden, July, 1997.Google Scholar
- 5.Weiss G., Wetzler C., von Puttkamer E. Keeping Track of Position and Orientation of Moving Indoor Systems by Correlation of Range-Finder Scans, IEEE/RSJ International Conference on Intelligent Robots and Systems IROS’94, 595–601, Munich, Germany, September, 1994.Google Scholar