The programming of automation systems, namely robotic
systems, is generally too complex and time spending for the industry¿s
current needs. Particularly, in the most developed countries, where the
industry is driven by small production series. To this kind of factory
model the setup time is far too high compared to the actual production
time. Therefore it is necessary to develop new techniques and make use
of high end sensors that allow very flexible solutions.
In this paper, it will be presented a low-cost system that obtains the 3D
model of an object through laser/camera triangulation and then calculates
the objects¿ position and orientation by means of a non-analytical
cost function, which is minimized through conjugate-gradient algorithm.
The position result can then be send to a robotic manipulator. Concepts
like camera calibration, image processing, 3D reconstruction and data
merge will be presented in this article.
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