Abstract
At present, the digital camouflage painting is still mainly by manual spraying, the process is complicated and inefficient. In view for this situation, on the basis of the previous research on the texture mapping technology based on the octree theory, a spray trajectory planning method based on the projection method is proposed. This method takes the texture mapping result as the input. Firstly, the Mosaic boundary on the 3D model is projected to the plane; then the “scanning” raster trajectory planning is carried out on the projection plane; finally, the trajectory of spraying planning is corrected. This method transforms the 3D trajectory planning problem into the 2D trajectory planning problem, which not only greatly simplifies the difficulty of the algorithm planning, but also can adapt to different shape surfaces. The experiment verifies the feasibility of the algorithm. The research results can provide reference for the practice of digital camouflage spraying.
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References
Zhang, Y., Xue, S., Jiang, X., et al.: The spatial color mixing model of digital camouflage pattern. Defence Technol. 9(3), 157–161 (2013)
Klein, A.: CAD-based off-line programming of painting robots. Robotica 5(4), 267–271 (1987)
Suk, S.-H., Lee, J.-J., Choi, Y.-J.: A prototype integrated robotic painting system: software and hardware development. J. Manuf. Syst. 12(6), 475–482 (1993)
Chen, H., Sheng, W., Xi, N., et al.: Automated robot trajectory planning for spray painting of free-form surfaces in automotive manufacturing. In: Proceedings of IEEE International Conference on Robotics and Automationm, ICRA, vol. 1, pp. 450–455. IEEE (2002)
Atkar, N.P., Greenfield, A., Conner, C.D., Chosct, H., Rizzi, A.A.: Hierarchical segmentation of surfaces embedded in R3 for auto-body painting. In: Proceedings of the 2005 IEEE International Conference on Robotics and Automation, pp. 574–579 (2005)
Chen, H., Fuhlbrigge, T., Li, X.: A review of CAD-based robot path planning for spray painting. Microelectron. Reliab. 42(3), 343–347 (2009)
Gyorfi, J.S., Gamota, D.R., Mok, S.M., et al.: Evolutionary path planning with subpath constraints. IEEE Trans. Electron. Packag. Manuf. 33(2), 143–151 (2010)
Andulkar, M.V., Chiddarwar, S.S.: Incremental approach for trajectory generation of spray painting robot. Ind. Robot 42(3), 228–241 (2015)
Miao, D., Wang, G., Wu, L., et al.: Trajectory planning for freeform surface uniform spraying. J. Tsinghua Univ. Sci. Technol. 53(10), 1418–1423 (2013)
Chen, Y., Yan, H., Wang, L., et al.: Coating uniformity with a uniform robotic spray gun velocity. J. Tsinghua Univ. 50(8), 1210–1213 + 1218 (2010)
Chen, H., Fuhlbrigge, T., Li, X.: Automated industrial robot path planning for spray painting process: a review. In: IEEE International Conference on Automation Science and Engineering, pp. 522–527. IEEE (2008)
Ramabhadran, R., Antonio, J.K.: Fast solution techniques for a class of optimal trajectory planning problems with applications to automated spray coating. IEEE Trans. Robot. Autom. 13(4), 519–530 (1995)
Zhang, Y.: New model for air spray gun of robotic spray-painting. Chin. J. Mech. Eng. 42(11), 226–233 (2006)
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Xutang, Z., Wen, S., Bohao, W., Jianming, L., Ling, Z. (2019). Trajectory Planning for Digital Camouflage Spray Painting Robot Based on Projection Method. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11740. Springer, Cham. https://doi.org/10.1007/978-3-030-27526-6_20
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DOI: https://doi.org/10.1007/978-3-030-27526-6_20
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