用3D识别让协作机器人灵活适配小批量钣金生产。
Augmenting cobots for sheet-metal SMEs with 3D object recognition and localisation
- 结合3D物体识别与定位技术，提升机器人柔性
- 实现小批量订单下机器人自动适配与作业
- 适合需灵活升级的中小钣金制造企业
由于高混合低产量的生产模式，当前钣金车间面临小批量、多变订单的挑战。标准自动化方案往往难以满足需求，中小企业被迫依赖重复性人工操作，推高生产成本，且技术人才未被充分使用。COOCK+ ROBUST项目旨在通过集成3D物体识别与定位等现有技术，将协作机器人改造为可移动、可重构的生产助手。本文探讨了在工业环境中增强机器人系统所面临的机遇与挑战，并梳理了关键实施步骤。此外，基于ACRO研究团队与工业伙伴合作完成的过往项目，提供了一个具体落地案例作为参考。
原文摘要 · Abstract (English)
Due to high-mix-low-volume production, sheet-metal workshops today are challenged by small series and varying orders. As standard automation solutions tend to fall short, SMEs resort to repetitive manual labour impacting production costs and leading to tech-skilled workforces not being used to their full potential. The COOCK+ ROBUST project aims to transform cobots into mobile and reconfigurable production assistants by integrating existing technologies, including 3D object recognition and localisation. This article explores both the opportunities and challenges of enhancing cobotic systems with these technologies in an industrial setting, outlining the key steps involved in the process. Additionally, insights from a past project, carried out by the ACRO research unit in collaboration with an industrial partner, serves as a concrete implementation example throughout.
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