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Titlebook: Advances in Artificial Intelligence in Manufacturing; Proceedings of the 1 Achim Wagner,Kosmas Alexopoulos,Sotiris Makris Conference procee

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發(fā)表于 2025-3-25 06:00:12 | 只看該作者
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發(fā)表于 2025-3-25 09:30:05 | 只看該作者
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發(fā)表于 2025-3-25 20:12:46 | 只看該作者
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發(fā)表于 2025-3-26 00:18:29 | 只看該作者
Enabling Seamless Human-Robot Collaboration in Manufacturing Using LLMscusing on collaborative manufacturing. Real-world experiments conducted in two manufacturing settings coming from the automotive and machinery industries. The findings have implications for various industries seeking to increase productivity and foster a new era of efficient and effective collaboration in manufacturing environments.
27#
發(fā)表于 2025-3-26 06:08:40 | 只看該作者
Advancing Human-Robot Interaction Using AI – A Large Language Model (LLM) Approachnce HRI in both execution and programming phases, through the use of AI, exploring large language models (LLMs), allowing humans to communicate in natural language. A reference use case is presented to validate the effectiveness of this approach.
28#
發(fā)表于 2025-3-26 10:33:52 | 只看該作者
Grundlagen der anorganischen Chemierm of dispatch rules. The agent was trained and tested in a production system of a bicycle industry upon various production scenarios. The DRL scheduling agent proposes production schedules with a 7% less makespan compared to traditional methods, such as shortest processing time (SPT) and longest processing time (LPT) dispatch rules.
29#
發(fā)表于 2025-3-26 13:26:10 | 只看該作者
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