Abstract
The article is about the construction of a robotic table for the separation and classification of objects for computer integrated manufacturing, consisting of a surface with gears distributed in modules with two gears each for x and y respectively, which allow the displacement of objects and their classification. The computer vision algorithms used to determine the position of the object are detailed. In addition, the Kd, Ki, Kp constants are auto tuned through a neural network to locate and track the objects transported. The design and construction features as well as the mechanical and electronic system are integrated into a mechatronic system. Finally, for the operation of the robotic table was tested with objects of different weights, the results showed the usefulness of the separation and classification system for the tracking of preset trajectories.
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Terán, H.C. et al. (2018). Mobile Robotic Table with Artificial Intelligence Applied to the Separate and Classified Positioning of Objects for Computer-Integrated Manufacturing. In: Kuznetsov, S., Osipov, G., Stefanuk, V. (eds) Artificial Intelligence. RCAI 2018. Communications in Computer and Information Science, vol 934. Springer, Cham. https://doi.org/10.1007/978-3-030-00617-4_20
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DOI: https://doi.org/10.1007/978-3-030-00617-4_20
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