Intelligent systems for welding process automation
AUTOR(ES)
Alfaro, Sadek C. A., Drews, Paul
FONTE
Journal of the Brazilian Society of Mechanical Sciences and Engineering
DATA DE PUBLICAÇÃO
2006-03
RESUMO
This paper presents and evaluates the concept and implementation of two distinct multi-sensor systems for the automated manufacturing based on parallel hardware. In the most sophisticated implementation, 12 processors had been integrated in a parallel multi-sensor system. Some specialized nodes implement an Artificial Neural Network, used to improve photogrammetry-based computer vision, and Fuzzy Logic supervision of the sensor fusion. Trough the implementation of distributed and intelligent processing units, it was shown that parallel architectures can provide significant advantages compared to conventional bus-based systems. The paper concludes with the comparison of the main aspects of the transputer and the DSP-based implementation of sensor guided robots.
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