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M. Castelán ; F.J. Castro-Martínez ; M. Peña-Cabrera ; R. Osorio-Comparan ;Journal of Applied Research and Technology 2013, 11 (1)

Autor: I. López-Juárez

Fuente: http://www.redalyc.org/


Introducción



Journal of Applied Research and Technology ISSN: 1665-6423 jart@aleph.cinstrum.unam.mx Centro de Ciencias Aplicadas y Desarrollo Tecnológico México López-Juárez, I.; Castelán, M.; Castro-Martínez, F.J.; Peña-Cabrera, M.; Osorio-Comparan, R. Using Objects Contour, Form and Depth to Embed Recognition Capability into Industrial Robots Journal of Applied Research and Technology, vol.
11, núm.
1, febrero, 2013, pp.
5-17 Centro de Ciencias Aplicadas y Desarrollo Tecnológico Distrito Federal, México Available in: http:--www.redalyc.org-articulo.oa?id=47426212001 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative   Using Objects Contour, Form and Depth to Embed Recognition Capability into Industrial Robots I.
López-Juárez*1, M.
Castelán1, F.J.Castro-Martínez1, M.
Peña-Cabrera2, R.Osorio-Comparan2 1 Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional Robótica y Manufactura Avanzada Ramos Arizpe, Coahuila., México *ismael.lopez@cinvestav.edu.mx 2 Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas Universidad Nacional Autónoma de México Mexico City, Mexico. ABSTRACT Robot vision systems can differentiate parts by pattern matching irrespective of part orientation and location.
Some manufacturers offer 3D guidance systems using robust vision and laser systems so that a 3D programmed point can be repeated even if the part is moved varying its location, rotation and orientation within the working space.
Despite these developments, current industrial robots are still unable to recognize objects in a robust manner; that is, to distinguish an object among equally shaped objects taking into account not only the object’s contour but also its form and depth information, which...





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