کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
381197 | 1437480 | 2010 | 11 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Intelligent task planning and action selection of a mobile robot in a multi-agent system through a fuzzy neural network approach Intelligent task planning and action selection of a mobile robot in a multi-agent system through a fuzzy neural network approach](/preview/png/381197.png)
This paper proposes an intelligent task planning and action selection mechanism for a mobile robot in a robot soccer system through a fuzzy neural network approach. The proposed fuzzy neural network system is developed through the two dimensional fuzzification of the soccer field. A five layer fuzzy neural network system is trained through error back propagation learning algorithm to impart a strategy based action selection. The action selection depends on the field configuration, and the emergence of a particular field configuration results from the game dynamics. Strategy of the robot changes when the configuration of the objects in the field changes. The proposed fuzzy neural network structure is flexible to accommodate all possible filed configurations. Simulation results indicate that the proposed approach is simple and has the capability in coordinating the multi-agent system through selection of sensible actions.
Journal: Engineering Applications of Artificial Intelligence - Volume 23, Issue 6, September 2010, Pages 923–933