37
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Offline robot programming assisted by task demonstration: an AutomationML interoperable solution for glass adhesive application and welding

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Received 14 Feb 2023, Accepted 16 May 2024, Published online: 23 May 2024

References

  • Amorim, A., D. Guimares, T. Mendona, P. Neto, P. Costa, and A. Paulo Moreira. 2021. “Robust Human Position Estimation in Cooperative Robotic Cells.” Robotics and Computer-Integrated Manufacturing 67:102035. https://doi.org/10.1016/j.rcim.2020.102035.
  • Arrais, R., C. M. Costa, P. Ribeiro, L. F. Rocha, M. Silva, and G. Veiga. 2021. “On the Development of a Collaborative Robotic System for Industrial Coating Cells.” The International Journal of Advanced Manufacturing Technology 115 (3): 853–871, July. https://doi.org/10.1007/s00170-020-06167-z.
  • Babcinschi, M., B. Freire, L. Ferreira, B. Señaris, F. Vidal, P. Vaz, and P. Neto. 2020. “An Integrated and Interoperable Automationml-Based Platform for the Robotic Process of Metal Additive Manufacturing. 30th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2021).” Procedia Manufacturing 51:26–31. https://doi.org/10.1016/j.promfg.2020.10.005.
  • Chiriatti, G., M. Ciccarelli, M. Forlini, M. Franchini, G. Palmieri, A. Papetti, and M. Germani. 2022. “Human-Centered Design of a Collaborative Robotic System for the Shoe-Polishing Process.” Machines 10 (11): 1082. https://doi.org/10.3390/machines10111082.
  • Erdős, G., C. Kardos, Z. Kemény, A. Kovács, and J. Váncza. 2016. “Process Planning and Offline Programming for Robotic Remote Laser Welding Systems.” International Journal of Computer Integrated Manufacturing 29 (12): 1287–1306. https://doi.org/10.1080/0951192X.2015.1033753.
  • Geng, Y., M. Lai, X. Tian, X. Xu, Y. Jiang, and Y. Zhang. 2023. “A Novel Seam Extraction and Path Planning Method for Robotic Welding of Medium-Thickness Plate Structural Parts Based on 3d Vision.” Robotics and Computer-Integrated Manufacturing 79:102433. https://doi.org/10.1016/j.rcim.2022.102433.
  • Halim, J., P. Eichler, S. Krusche, M. Bdiwi, and S. Ihlenfeldt. 2022. “No-Code Robotic Programming for Agile Production: A New Markerless-Approach for Multimodal Natural Interaction in a Human-Robot Collaboration Context.” Frontiers in Robotics and AI 9:9. https://doi.org/10.3389/frobt.2022.1001955.
  • Hua, Y., and B. Hein. 2021. “Aqt—A Query Template for Automationml.” IEEE Transactions on Industrial Informatics 17 (2): 1018–1028. https://doi.org/10.1109/TII.2020.2989125.
  • Iturrate, I., A. Kramberger, and C. Sloth. 2021. “Quick Setup of Force-Controlled Industrial Gluing Tasks Using Learning from Demonstration.” Frontiers in Robotics and AI 8:2021. https://doi.org/10.3389/frobt.2021.767878.
  • Kaiser, B., M. Wolf, and A. Verl. 2022. “Modular Control Architecture for Reconfigurable Fabrication Systems for Prefabrication in Construction.” ISR Europe 2022; 54th International Symposium on Robotics, Munich, Germany, 1–7.
  • Lattanzi, L., R. Raffaeli, M. Peruzzini, and M. Pellicciari. 2021. “Digital Twin for Smart Manufacturing: A Review of Concepts Towards a Practical Industrial Implementation.” International Journal of Computer Integrated Manufacturing 34 (6): 567–597. https://doi.org/10.1080/0951192X.2021.1911003.
  • Müller, T., S. Kamm, A. Löcklin, D. White, M. Mellinger, N. Jazdi, and M. Weyrich. 2022. “Architecture and Knowledge Modelling for Self-Organized Reconfiguration Management of Cyber-Physical Production Systems.” International Journal of Computer Integrated Manufacturing 36 (12): 1–22.
  • Nathaly Rea Minango, S., and J. Carlos Espindola Ferreira. 2017. “Combining the Step-Nc Standard and Forward and Inverse Kinematics Methods for Generating Manufacturing Tool Paths for Serial and Hybrid Robots.” International Journal of Computer Integrated Manufacturing 30 (11): 1203–1223. https://doi.org/10.1080/0951192X.2017.1305507.
  • Nikolakis, N., V. Maratos, and S. Makris. 2019. “A Cyber Physical System (Cps) Approach for Safe Human-Robot Collaboration in a Shared Workplace.” Robotics and Computer-Integrated Manufacturing 56:233–243. https://doi.org/10.1016/j.rcim.2018.10.003.
  • Roveda, L., P. Veerappan, M. Maccarini, G. Bucca, A. Ajoudani, and D. Piga. 2023. “A Human-Centric Framework for Robotic Task Learning and Optimization.” Journal of Manufacturing Systems 67:68–79. https://doi.org/10.1016/j.jmsy.2023.01.003.
  • Saenz, J., R. Behrens, E. Schulenburg, H. Petersen, O. Gibaru, P. Neto, and N. Elkmann. 2020. “Methods for Considering Safety in Design of Robotics Applications Featuring Human-Robot Collaboration.” The International Journal of Advanced Manufacturing Technology 107 (5): 2313–2331, March. https://doi.org/10.1007/s00170-020-05076-5.
  • Tsarouchi, P., S. Makris, and G. Chryssolouris. 2016. “Human–Robot Interaction Review and Challenges on Task Planning and Programming.” International Journal of Computer Integrated Manufacturing 29 (8): 916–931. https://doi.org/10.1080/0951192X.2015.1130251.
  • Tuffaha, M., Ø. Stavdahl, and A.-K. Stensdotter. 2022. “Modeling Movement-Induced Errors in Ac Electromagnetic Trackers.” IEEE Transactions on Visualization and Computer Graphics 28 (3): 1597–1607. https://doi.org/10.1109/TVCG.2020.3019700.
  • Villagrossi, E., N. Pedrocchi, M. Beschi, and L. Molinari Tosatti. 2018. “A Human Mimicking Control Strategy for Robotic Deburring of Hard Materials.” International Journal of Computer Integrated Manufacturing 31 (9): 869–880. https://doi.org/10.1080/0951192X.2018.1447688.
  • Wang, Y., Y. Jiao, R. Xiong, H. Yu, J. Zhang, and Y. Liu. 2018. “Masd: A Multimodal Assembly Skill Decoding System for Robot Programming by Demonstration.” IEEE Transactions on Automation Science and Engineering 15 (4): 1722–1734. https://doi.org/10.1109/TASE.2017.2783342.
  • Wang, G., D. Li, Y. Tu, C. Zhang, F. Li, and S. Wang. 2022. “A Product-Process-Resource Based Formal Modelling Framework for Customized Manufacturing in Cyber-Physical Production Systems.” International Journal of Computer Integrated Manufacturing 35 (6): 598–618. https://doi.org/10.1080/0951192X.2021.1992662.
  • Weng, C.-Y., Q. Yuan, F. Suárez-Ruiz, and I.-M. Chen. 2020. “A Telemanipulation-Based Human–Robot Collaboration Method to Teach Aerospace Masking Skills.” IEEE Transactions on Industrial Informatics 16 (5): 3076–3084. https://doi.org/10.1109/TII.2019.2906063.
  • Yao, B., Z. Zhou, L. Wang, W. Xu, J. Yan, and Q. Liu. 2018. “A Function Block Based Cyber-Physical Production System for Physical Human–Robot Interaction. SI: Advancing Manufacturing Systems Research at NAMRC 46.” Journal of Manufacturing Systems 48:12–23. https://doi.org/10.1016/j.jmsy.2018.04.010.
  • Zhao, J., E.-H. Aghezzaf, and J. Cottyn. 2023. “El-Houssaine Aghezzaf and Johannes Cottyn. An AutomationML Extension Towards Interoperability of 3D Virtual Commissioning Software Applications.” International Journal of Computer Integrated Manufacturing 1–20. https://doi.org/10.1080/0951192X.2023.2294443.
  • Zheng, C., Y. An, Z. Wang, H. Wu, X. Qin, B. Eynard, and Y. Zhang. 2022. “Hybrid Offline Programming Method for Robotic Welding Systems.” Robotics and Computer-Integrated Manufacturing 73:102238. https://doi.org/10.1016/j.rcim.2021.102238.
  • Zhou, X., X. Wang, Z. Xie, F. Li, and X. Gu. 2022. “Online Obstacle Avoidance Path Planning and Application for Arc Welding Robot.” Robotics and Computer-Integrated Manufacturing 78:102413. https://doi.org/10.1016/j.rcim.2022.102413.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.