摘要
Robotics&Machine Learning Daily News的新闻记者兼新闻编辑-研究人员在Robotic S中详细介绍了新的数据。根据NewsRx Journa Lists来自德国德累斯顿的新闻报道，研究人员表示，“工业公司的短期自动化解决方案有潜力补偿不稳定的需求、员工流动或短期Es。”新闻记者引用了弗劳恩霍夫机床和成形技术研究所的一篇研究文章，“目前的解决方案要么不能在短时间内获得，要么在经济上不可行，因为必须整合到现有的控制系统和机床中。本文提出了一种认知机器人系统，通过自动化的认知技能模仿操作者的行为，从而规避这个问题。”根据新闻记者的说法，该研究得出结论：“该方法使用PE接收系统、处理和技能模块以及基于技能的控制，在工业棕地使用案例中自动执行E，而不需要额外的与现有控制系统的接口，以将整合努力降至最低。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting originating in Dresden, Germany, by NewsRx journa lists, research stated, “Short-term automation solutions for industrial companie s have potential to compensate for volatile demand, employee turnover or shortag es.” The news reporters obtained a quote from the research from Fraunhofer Institute for Machine Tools and Forming Technology, “Current solutions are either not avai lable at short notice or economically unviable, as integration in existing contr ol systems and machine tools would be necessary. The paper proposes a cognitive robotic system that circumvents this problem by emulating the behaviour of opera tors through automated, cognitive skills.” According to the news reporters, the research concluded: “The approach uses a pe rception system, handling and skill modules and a skill-based control to automat e in an industrial brownfield use case without additional interfaces to the exis ting control systems to reduce integration effort to a minimum.”
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