Abstract
Industry 4.0 supports a higher degree of automation through the use of adaptable robots. No-code robotics enables untrained personnel to implement the corresponding robot applications. Thus, the shortage of robotics experts can be addressed. Industry 4.0 provides various technologies including digital twins, augmented reality, and reliable 3D camera systems. The integration of these technologies can be used for the no-code robotics concept presented here. It allows untrained personnel to create pick-and-place applications using an augmented reality app. Results on positioning accuracy and user friendliness of the no-code robotics concept are presented.
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References
Strehlitz, M.: No Code necessary, in VDE dialog, VDE Association for Electrical, Electronic & Information Technologies (2022). https://dialog.vde.com/en/vde-dialog-editions/2022-01-sustainability/no-code. Accessed 1 May 2023
Chacko, S.M., Kapila, V.: An augmented reality interface for human-robot interaction in unconstrained environments. In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3222–3228 (2019). https://doi.org/10.1109/IROS40897.2019.8967973
Ravichandar, H., Polydoros, A.S., Chernova, S., Billard, A.: Recent advances in robot learning from demonstration. Annu. Rev. Control Robot. Auton. Syst. 3(1), 297–330 (2020). https://doi.org/10.1146/annurev-control-100819-063206
Barhoumi, N., Hajji, R., Bouali, Z., Brahim, Y., Kharroubi, A.: Assessment of 3D models placement methods in augmented reality. Appl. Sci. 12, 10620 (2022). https://doi.org/10.3390/app122010620
AR Assisted Robot Applications (2022). https://www.youtube.com/watch?v=UbkBFqRVokM. Accessed 1 May 2023
Enebuse, I., Ibrahim, B.K.S.M.K., Foo, M., Matharu, R.S., Ahmed, H.: Accuracy evaluation of hand-eye calibration techniques for vision-guided robots. PLoS ONE 17(10), e0273261 (2022). https://doi.org/10.1371/journal.pone.0273261
Spreafico, A., Chiabrando, F., Teppati Losè, L., Giulio Tonolo, F.: The Ipad pro built-in lidar sensor: 3D rapid mapping tests and quality assessment. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. XLIII-B1-2021, 63–69 (2021). https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-63-2021
Vogt, M., Rips, A., Emmelmann, C.: Comparison of iPad Pro®’s LiDAR and TrueDepth capabilities with an industrial 3D scanning solution. Technologies 9(2), 25 (2021). https://doi.org/10.3390/technologies9020025
Bauer, P., Lienhart, W., Jost, S.: Accuracy investigation of the pose determination of a VR system. Sensors 21(5), 1622 (2021). https://doi.org/10.3390/s21051622
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Wree, C., Hebekerl, J. (2024). Digital Twin-Based Augmented Reality Concept for No-Code Robotics. In: Borangiu, T., Trentesaux, D., Leitão, P., Berrah, L., Jimenez, JF. (eds) Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. SOHOMA 2023. Studies in Computational Intelligence, vol 1136. Springer, Cham. https://doi.org/10.1007/978-3-031-53445-4_5
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DOI: https://doi.org/10.1007/978-3-031-53445-4_5
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