Abstract
With the ambition to introduce robots into assembly lines, not suitable for classical automation, the ease of robot programming is becoming more significant then ever. This paper proposes using various approaches for gaining knowledge from human demonstrations. This knowledge is applied to perform assembly tasks in a industrial robotic cell. Real industrial use case is used for evaluation of proposed approaches. It shows their viability and presents different scenarios which call for different approaches of learning and execution of assembly tasks and its subsets.
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Acknowledgment
This work has received funding from the EU’s Horizon 2020 IA ReconCell (GA no. 680431) and from GOSTOP programme C3330-16-529000 co-financed by Slovenia and EU under ERDF.
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Gašpar, T., Deniša, M., Ude, A. (2020). Knowledge Acquisition Through Human Demonstration for Industrial Robotic Assembly. In: Berns, K., Görges, D. (eds) Advances in Service and Industrial Robotics. RAAD 2019. Advances in Intelligent Systems and Computing, vol 980. Springer, Cham. https://doi.org/10.1007/978-3-030-19648-6_40
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DOI: https://doi.org/10.1007/978-3-030-19648-6_40
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