Abstract
In this paper, a method to automate industrial manufacturing processes using an intelligent multi-camera system to assist a robotic arm on a production line is presented. The examined assembly procedure employs a volumetric method for the initial estimation of object’s properties and an octree decomposition process to generate the path plans for the robotic arm. Initially, the object is captured by four cameras and its volumetric representation is produced. Thereafter, a quality check with its respective CAD model is performed and the final details of the 3D model are refined. An octree decomposition technique is utilized afterwards to facilitate the automatic generation of the assembly path plans and translate them to a sequence of movements for the robotic arm. The algorithm is fast, computationally simple and produces an assembly sequence that can be translated to any major robotic programming language. The proposed algorithm is assessed and preliminary experimental results are discussed.
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MedellÃn, H., Corney, J., Ritchie, J., Lim, T.: Automatic generation of robot and manual assembly plans using octrees. Assembly Automation 30(2), 173–183 (2010)
Aghajan, H.K., Cavallaro, A.: Multi-camera networks: principles and applications. Academic Press (May 2009)
Seitz, S., Curless, B., Diebel, J., Scharstein, D., Szeliski, R.: A comparison and evaluation of multi-view stereo reconstruction algorithms. In: 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 519–528. IEEE (2006)
Mittal, A.: Generalized multi-sensor planning. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006, Part I. LNCS, vol. 3951, pp. 522–535. Springer, Heidelberg (2006)
Hager, G., Mintz, M.: Computational methods for task-directed sensor data fusion and sensor planning. The International Journal of Robotics Research 10(4), 285–313 (1991)
Cameron, A., Durrant-Whyte, H.: A bayesian approach to optimal sensor placement. The International Journal of Robotics Research 9(5), 70–88 (1990)
Kutulakos, K., Dyer, C.: Recovering shape by purposive viewpoint adjustment. International Journal of Computer Vision 12(2), 113–136 (1994)
Maver, J., Bajcsy, R.: Occlusions as a guide for planning the next view. IEEE Transactions on Pattern Analysis and Machine Intelligence 15(5), 417–433 (1993)
Ye, Y., Tsotsos, J.: Sensor planning for 3d object search. Computer Vision and Image Understanding 73(2), 145–168 (1999)
Miura, J., Ikeuchi, K.: Task-oriented generation of visual sensing strategies. In: Proceedings of the Fifth International Conference on Computer Vision, pp. 1106–1113. IEEE (1995)
Sing, B., Seitz, S., Sloan, P.P.: Visual tunnel analysis for visibility prediction and camera planning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 195–202 (2000)
O’Rourke, J.: Art gallery theorems and algorithms, vol. 57. Oxford University Press, Oxford (1987)
de Mello, L., Lee, S.: Computer-aided mechanical assembly planning, vol. 148. Springer (1991)
Slabaugh, G., Culbertson, W., Malzbender, T., Stevens, M., Schafer, R.: Methods for volumetric reconstruction of visual scenes. International Journal of Computer Vision 57(3), 179–199 (2004)
Jin, H., Soatto, S., Yezzi, A.: Multi-view stereo reconstruction of dense shape and complex appearance. International Journal of Computer Vision 63(3), 175–189 (2005)
MedellÃn, H., Corney, J., Davies, J., Lim, T., Ritchie, J.: An automated system for the assembly of octree models. Assembly Automation 24(3), 297–312 (2004)
Tsai, R.: A versatile camera calibration technique for high-accuracy 3d machine vision metrology using off-the-shelf tv cameras and lenses. IEEE Journal of Robotics and Automation 3(4), 323–344 (1987)
Bouguet, J.Y.: Camera calibration toolbox for Matlab (2008)
Research, P.G.: Point grey research cameras
Laurentini, A.: The visual hull concept for silhouette-based image understanding. IEEE Transactions on Pattern Analysis and Machine Intelligence 16, 150–162 (1994)
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Bitzidou, M., Chrysostomou, D., Gasteratos, A. (2013). Multi-camera 3D Object Reconstruction for Industrial Automation. In: Emmanouilidis, C., Taisch, M., Kiritsis, D. (eds) Advances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services. APMS 2012. IFIP Advances in Information and Communication Technology, vol 397. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40352-1_66
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DOI: https://doi.org/10.1007/978-3-642-40352-1_66
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