[en] Abstract This paper presents an improvement of the cognitive architecture, 4D/RCS,
developed by the NIST. This improvement consist of the insertion of Fuzzy Logic
cells (FLCs), in different parts and hierarchy levels of the architecture, and the adaptation
of this architecture for Unmanned Aerial Vehicles (UAVs). This advance provides
an improvement in the functionality of the system based on the uses of the
Miguel Olivares’ Fuzzy Software for the definition of the FLCs and its adaptative
learning algorithm. These adaptative-FLCs contribute with the reduction of the uncertainty
in the data sensor adquisition, a more adaptative behavior of the system to
the real world and the reduction of the computational cost in the decision making.
Disciplines :
Computer science
Author, co-author :
Olivares Mendez, Miguel Angel ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) ; Universidad Politecnica de Madrid, Computer Vision Group
Campoy, Pascual; Universidad Politecnica de Madrid, Computer Vision Group
Mondragon, Ivan F.; Universidad Politecnica de Madrid, Computer Vision Group
Martinez, Carol; Universidad Politecnica de Madrid, Computer Vision Group
Language :
English
Title :
Fuzzy-4D/RCS for Unmanned Aerial Vehicles
Publication date :
July 2010
Event name :
BICS 2010 Conference on Brain-Inspired Cognitive Systems
Event date :
July 2010
Audience :
International
Main work title :
BICS 2010 Conference on Brain-Inspired Cognitive Systems
