Abstract
Conventional manufacturing processes continuously develop and new manufacturing processes, such as additive manufacturing, establish on the market. The benefits are product- and variant diversity. For employees in production, this means a broad expert knowledge of manufacturing processes and the operation of several partially automated processes simultaneously. To encounter this development and to reach a sustainable process, we developed an assistance system that supports workers in their daily challenge. The assistance system includes an AI-based evaluation of manufacturing technology, a user-friendly user-interface and a use-case for training and transfer.
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Röhm, B., Gögelein, L., Kugler, S., Anderl, R. (2021). AI-Driven Worker Assistance System for Additive Manufacturing. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1213. Springer, Cham. https://doi.org/10.1007/978-3-030-51328-3_4
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DOI: https://doi.org/10.1007/978-3-030-51328-3_4
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