Reconhecimento de Peças para Robô de Montagem utilizando Redes Neurais Artificiais: abordagem baseada em Invariância Geométrica

Título: Reconhecimento de Peças para Robô de Montagem utilizando Redes Neurais Artificiais: abordagem baseada em Invariância Geométrica

Autores: Tronco, Mário Luiz; Porto, Arthur José Vieira

Resumo: Automated Assembly Systems, based on simple and repetitive tasks of manipulation, with high level of tolerance, in controlled environment, uses artificial vision to manage tolerances and imperfect parts, and errors of positioning. This paper describes a Neural Network based Pattern Recognition System, that can recognize patterns even they are deformed by transformation of rotation, scaling and translation. Geometric Invariance is the main characteristic presented by the proposed system. Another important characteristic is the system’s ability to work with noisy images. The final structure was designed to enable a parallel implementation, specially designed to run on the CPAD [3] Architecture.

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Páginas: 6

Código DOI: 10.21528/CBRN2003-050

Artigo em PDF: 6CBRN_050.PDF

Arquivo BibTex: 6CBRN_050.bib