基于 LLM 的方法实现装配中的人机无缝协作

IF 3.2 3区工程技术 Q2 ENGINEERING, INDUSTRIAL

Cirp Annals-Manufacturing Technology Pub Date : 2024-01-01 DOI:10.1016/j.cirp.2024.04.002

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引用次数: 0

摘要

智能制造中人与机器人协作的复杂性仍然是一项重大挑战。本文介绍了一种基于大型语言模型（LLM）的制造执行系统，以增强智能制造中的人机协作（HRC）。通过利用大型语言模型（LLM），该系统为操作员提供了自然语言界面，与数字孪生集成以获取实时数据，并为机器人采用了基于行为的控制。这种集成有助于直观的交互和快速的系统编程，解决了热轧卷中复杂的通信问题。通过两个热轧卷装配案例研究，验证了这种方法的有效性，显示出协作和效率的显著提高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An LLM-based approach for enabling seamless Human-Robot collaboration in assembly

The complexity in the collaboration between humans and robots in smart manufacturing remains a significant challenge. This paper introduces an LLM-based manufacturing execution system enhancing Human-Robot Collaboration (HRC) in smart manufacturing. By leveraging Large Language Models (LLMs), the system provides a natural language interface for operators, integrates with Digital Twins for real-time data, and employs behavior-based control for robots. This integration facilitates intuitive interactions and rapid system programming, addressing communication complexities in HRC. The effectiveness of this approach is validated through two HRC assembly case studies, demonstrating significant improvements in collaboration and efficiency.

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来源期刊

Cirp Annals-Manufacturing Technology 工程技术-工程：工业

CiteScore

7.50

自引率

9.80%

发文量

137

审稿时长

13.5 months

期刊介绍： CIRP, The International Academy for Production Engineering, was founded in 1951 to promote, by scientific research, the development of all aspects of manufacturing technology covering the optimization, control and management of processes, machines and systems. This biannual ISI cited journal contains approximately 140 refereed technical and keynote papers. Subject areas covered include: Assembly, Cutting, Design, Electro-Physical and Chemical Processes, Forming, Abrasive processes, Surfaces, Machines, Production Systems and Organizations, Precision Engineering and Metrology, Life-Cycle Engineering, Microsystems Technology (MST), Nanotechnology.