Virtual Planning of Robot Trajectories for Spray Painting Applications

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In this paper is presented a Virtual Reality application that can be used for automatic generation of robot trajectories for spray painting operations conducted on products with complex surfaces. The trajectory generation for robots that perform painting operations of complex curved surfaces was achieved by implementing a generic algorithm capable of maintaining an optimal distance for painting. The distance between the effecter of the robot and the surface of the CAD model, used to compensate and maintain an optimal painting distance, is determined by a "rayhit" collision detection algorithm that allows the detection of the contact between a linear segment and the mesh of the virtual object. To visualize in the virtual environment the deposition of paint layers, an algorithm was implemented that is based on mapping techniques for dynamically generated textures on the surface that is being painted. A VR software application was developed for generating and visualizing the trajectories of a KUKA robotic system that performs the activity of painting a complex curved product.

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632-637

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October 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Y. Shengrui, C. Ligang, Modeling and prediction of paint film deposition rate for robotic spray painting, International Conference on Mechatronics and Automation (2011), 1445-1450.

DOI: 10.1109/icma.2011.5985963

Google Scholar

[2] M. Ruchanurucks, S. Kudoh, K. Ogawara, T. Shiratori, K. Ikeuchi, Robot painter: from object to trajectory, Proceeding of Intelligent Robots and Systems (2007), 339-345.

DOI: 10.1109/iros.2007.4399010

Google Scholar

[3] W. Chuanyu, M. Xiaojie, S. Xiangjun, Z. Lei, Methods of Generating Robot Spraying Trajectory Based on Shoe Sole Information, International Workshop on Intelligent Systems and Applications (2009), 1-4.

DOI: 10.1109/iwisa.2009.5072953

Google Scholar

[4] C. Heping, X. Ning, S. Weihua, C. Yifan, J. Dahl, Optimal spray gun trajectory planning with variational distribution for forming process, IEEE International Conference on Robotics and Automation(2004), 51-56.

DOI: 10.1109/robot.2004.1307128

Google Scholar

[5] A. Pichler, M. Vincze, H. Andersen, O. Madsen and K. Hausler, A method for automatic spray painting of unknown parts, IEEE International Conference on Robotics and Automation (2002), 444-449.

DOI: 10.1109/robot.2002.1013400

Google Scholar

[6] M. Ferreira, A. P. Moreira, P. Neto, A low-cost laser scanning solution for flexible robotic cells: spray coating, The International Journal of Advanced Manufacturing Technology 58 (2012) 1031-1041.

DOI: 10.1007/s00170-011-3452-x

Google Scholar

[7] G. Biegelbauer, A. Pichler, M. Vincze, C. L. Nielsen, H. J. Andersen and K. Haeusler, The inverse approach of FlexPaint [robotic spray painting], IEEE Robotics & Automation Magazine 12 (2005), 24-34.

DOI: 10.1109/mra.2005.1511866

Google Scholar

[8] A. Gasparetto, R. Vidoni, D. Pillan, E. Saccavini, Automatic Path and Trajectory Planning for Robotic Spray Painting, Proceedings of ROBOTIK confererence (2012), 1-6.

Google Scholar

[9] C. Wei, Z. Dean, Tool Trajectory Optimization of Robotic Spray Painting, Intelligent Computation Technology and Automation (2009) 419-422.

DOI: 10.1109/icicta.2009.567

Google Scholar

[10] K. DaeSeok, Y. Youngwoo, H. Sunyu, L. Geehyuk, P. Jinah, Visualizing Spray Paint Deposition in VR Training, IEEE Virtual Reality Conference (2007), 307-308.

DOI: 10.1109/vr.2007.352515

Google Scholar

[11] D. Talaba, I. Horváth, K. H. Lee, Special issue of Computer-Aided Design on virtual and augmented reality technologies in product design, Computer-Aided Design 42 (2010) 361-363.

DOI: 10.1016/j.cad.2010.01.001

Google Scholar

[12] P. Hertling, L. Hog, R. Larsen, J. W. Perram and H. G. Petersen, Task curve planning for painting robots. I. Process modeling and calibration, IEEE Transactions on Robotics and Automation 12(1996), 324-330.

DOI: 10.1109/70.488951

Google Scholar