Abstract
Augmented Reality (AR) has evolved over the past years, but before it is widely adopted and used in manufacturing industry, it has to overcome a number of technological challenges. Although new advancements in tracking and display technology have been a priority in recent research works, the use of accurate registration methods is not fundamental for users to understand the intent of the augmentation. Moreover, interactive visualization of contextual data in augmented spaces did not receive enough attention from the research community. In this paper, we investigate the creation of AR workspaces focused on interaction and visualization modes rather than on the registration accuracy, and how to provide more effective means to support assembly tasks in hybrid human-machine manufacturing lines. In particular, we focus on short-lived assembly tasks, i.e. manufacturing of limited batches of customized products, which do not yield significant returns considering the effort necessary to adapt AR systems and the production time frame.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
ElMaraghy, H.A.: Flexible and reconfigurable manufacturing systems paradigms. Int. J. Flex. Manuf. Syst. 17(4), 261–276 (2005)
Tang, A., Owen, C., Biocca, F., Mou, W.: Comparative effectiveness of augmented reality in object assembly. In: Proceedings of the SIGCHI Conference on Human factors in computing systems, pp. 73–80. ACM (2003)
Funk, M., Bächler, A., Bächler, L., Kosch, T., Heidenreich, T., Schmidt, A.: Working with augmented reality?: a long-term analysis of in-situ instructions at the assembly workplace. In: Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, ser. PETRA 2017. New York, pp. 222–229. ACM (2017)
Hořejší, P.: Augmented reality system for virtual training of parts assembly. Procedia Eng. 100, 699–706 (2015)
Peniche, A., Diaz, C., Trefftz, H., Paramo, G.: Combining virtual and augmented reality to improve the mechanical assembly training process in manufacturing. In: American Conference on Applied Mathematics, pp. 292–297 (2012)
Sand, O., Büttner, S., Paelke, V., Röcker, C.: smart. assembly-projection-based augmented reality for supporting assembly workers. In: International Conference on Virtual, Augmented and Mixed Reality, pp. 643–652. Springer, Cham (2016)
Rodriguez, L., Quint, F., Gorecky, D., Romero, D., Siller, H.R.: Developing a mixed reality assistance system based on projection mapping technology for manual operations at assembly workstations. Procedia Comput. Sci. 75, 327–333 (2015)
Petersen, N., Pagani, A., Stricker, D.: Real-time modeling and tracking manual workflows from first-person vision. In: 2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 117–124, October 2013
Funk, M., Kosch, T., Schmidt, A.: Interactive worker assistance: comparing the effects of in-situ projection, head-mounted displays, tablet, and paper instructions. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 934–939. ACM (2016)
Feiner, S., Macintyre, B., Seligmann, D.: Knowledge-based augmented reality. Commun. ACM 36(7), 53–62 (1993)
Hassaballah, M., Abdelmgeid, A.A., Alshazly, H.A.: Image Features Detection, Description and Matching, pp. 11–45. Springer, Cham (2016)
Steger, C.: Similarity measures for occlusion, clutter, and illumination invariant object recognition. In: Radig, B., Florczyk, S. (Eds.) Pattern Recognition, pp. 148–154. Springer, Heidelberg (2001)
Bouguet, J.Y.: Pyramidal implementation of the lucas kanade feature tracker. Intel Corporation, Microprocessor Research Labs (2000)
Drummond, T., Cipolla, R.: Real-time visual tracking of complex structures. IEEE Trans. Pattern Anal. Mach. Intell. 24(7), 932–946 (2002)
Choi, C., Christensen, H.I.: Real-time 3D model-based tracking using edge and keypoint features for robotic manipulation. In: 2010 IEEE International Conference on Robotics and Automation, pp. 4048–4055, May 2010
Moreno, D., Taubin, G.: Simple, accurate, and robust projector-camera calibration. In: Proceedings of the 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission, ser. 3DIMPVT 2012. IEEE Computer Society, Washington, DC, pp. 464–471 (2012). https://doi.org/10.1109/3DIMPVT.2012.77
Acknowledgements
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the grant agreement no 723711 and from the Ministry of Economy and Competitiveness of the government of Spain through a Torres Quevedo grant.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Simões, B., Álvarez, H., Segura, A., Barandiaran, I. (2019). Unlocking Augmented Interactions in Short-Lived Assembly Tasks. In: Graña, M., et al. International Joint Conference SOCO’18-CISIS’18-ICEUTE’18. SOCO’18-CISIS’18-ICEUTE’18 2018. Advances in Intelligent Systems and Computing, vol 771. Springer, Cham. https://doi.org/10.1007/978-3-319-94120-2_26
Download citation
DOI: https://doi.org/10.1007/978-3-319-94120-2_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-94119-6
Online ISBN: 978-3-319-94120-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)