Abstract
The use of robotic manipulators is a subject that has become relevant in the process of automation in different branches of industrial manufacturing. Today is possible to make routines works with robotic manipulator in dangerous conditions for human operators, providing flexibility in production lines, doing multiple types of tasks and executing actions with precision and quickly. All operations of a robotic arm is controlled by a computer system that controls the mechanism positions. Since the work of these machines is to manipulate tools or pieces, it is necessary to have tridimensional information of the environment or manipulated elements. In this work, the fringe projection technique is used to obtain three-dimensional shape of an object, and based on this information to generate the trajectories of the manipulator for the painting of complex objects through paint spraying. The obtained results have been successful, generating simulated trajectories for the painting of pieces with good quality and short times compared with times using traditional methods to program sequences.
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Acknowledgements
This work was done in two stages, the first in the Centro de Investigaciones en Óptica, México, under the supervision of Guillermo Garnica, J. Ascención Guerrero and Francisco Cuevas; and the second stage in the CIM Laboratory of the Universidad del Bío-bío, Chile, under the supervision of Luis Vera.
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Bustos, S., Aguilera, C., Martínez-García, A. (2017). Automatic Generation of Movement Sequences to Robotic Arm Based on Three-Dimensional Data Obtained Through Fringe Projection Technique. In: Martínez-García, A., Furlong, C., Barrientos, B., Pryputniewicz, R. (eds) Emerging Challenges for Experimental Mechanics in Energy and Environmental Applications, Proceedings of the 5th International Symposium on Experimental Mechanics and 9th Symposium on Optics in Industry (ISEM-SOI), 2015. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-28513-9_28
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DOI: https://doi.org/10.1007/978-3-319-28513-9_28
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