Cellular Neural Networks for Navigation of a Mobile Robot
Barbara Siemiątkowska , Artur Dubrawski
AbstractThis 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.
|Journal series||Lecture Notes In Computer Science, ISSN 0302-9743 [1611-3349]|
|Publication size in sheets||0.5|
|Conference||First International Conference RSCTC’98 , 22-06-1998 - 26-06-1998, Warszawa, Polska|
|Keywords in English||navigation, CNN|
|Citation count*||14 (2014-12-28)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.