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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 2025-3-28 15:39:57 | 只看該作者
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發(fā)表于 2025-3-28 21:54:21 | 只看該作者
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發(fā)表于 2025-3-29 02:50:00 | 只看該作者
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發(fā)表于 2025-3-29 04:10:03 | 只看該作者
Detection of Rare Fault Cases for Mobile Robot Applicationsors must be diagnosed quickly to avoid the propagation of faults and the associated safety risks and production downtime. The problems are incomplete descriptions of the systems and disturbed sensor signals, which makes it difficult to use model-based methods directly. In this article, a method is p
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發(fā)表于 2025-3-29 09:23:25 | 只看該作者
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發(fā)表于 2025-3-29 13:07:49 | 只看該作者
Enabling Seamless Human-Robot Collaboration in Manufacturing Using LLMsThis research paper focuses on the integration of Large Language Models (LLMs) to augment HRC capabilities, particularly in addressing configuration issues when programming robots to collaborate with human operators. By harnessing the capabilities of LLMs in combination with a user-friendly augmente
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發(fā)表于 2025-3-29 17:21:17 | 只看該作者
48#
發(fā)表于 2025-3-29 21:53:34 | 只看該作者
AI Enhanced Processing of Large Parts: Volume Monitoring and Control of Robotic Gluing Applicationeposition while compensating for disturbances during the path following process. The suggested approach is based on point cloud processing acquired by a low-cost stereo vision system. The proposed approach has been validated in a deposition of glue case study coming from the bus and coach sector. A
49#
發(fā)表于 2025-3-30 03:53:00 | 只看該作者
Advancing Human-Robot Interaction Using AI – A Large Language Model (LLM) Approachy, efficiency, and safety in production processes. Robots equipped with advanced sensing capabilities can work alongside humans, performing repetitive and physically demanding tasks, while humans focus on more complex and strategic aspects of production. Several concepts have been presented so far i
50#
發(fā)表于 2025-3-30 08:01:41 | 只看該作者
Cognitive Exoskeletons: Harnessing AI for Enhanced Wearable Robotics in Shipbuildingautomation is what drove previous progress in industry, not every process can be automated, therefore, there is still a need for humans to carry out more complex tasks. Thus, in order to increase productivity and efficiency, while maintaining flexibility, robots can assist operators in their tasks r
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