Recognizing Industrial Manipulated Parts Using the Perfect Match Algorithm

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2013

Autores

Rocha, LF (Autor) Outra; Ferreira, M (Autor) Outra; Germano Veiga (Autor) FEUP; António Paulo Moreira (Autor) FEUP; Santos, V (Autor) Outra

Ata de Conferência Internacional

Título: ROBOTICS IN SMART MANUFACTURING

Páginas: 146-157

International Workshop on Robotics in Smart Manufacturing (WRSM 2013) / 23rd International Conference on Flexible Automation and Intelligent Manufacturing (FAIM 2013)

Porto, PORTUGAL, JUN 26-28, 2013

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-006-FGJ

DOI: 10.1007/978-3-642-39223-8_14

Abstract (EN): The objective of this work is to develop a highly robust 3D part localization and recognition algorithm. This research work is driven by the needs specified by enterprises with small production series that seek for full robotic automation in their production line, which processes a wide range of products and cannot use dedicated identification devices due to technological processes. With the correct classification of the part, the robot will be able to autonomously select the correct program to execute. For this purpose, the Perfect Match algorithm, which is known by its computational efficiency, high precision and robustness, was adapted for object recognition achieving a 99.7% of classification rate. The expected practical implication of this work is contributing to the integration of industrial robots in highly dynamic and specialized lines, reducing the companies' dependency on skilled operators.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 12