Short-term automation solutions for industrial companies have potential to compensate for volatile demand, employee turnover or shortages. Current solutions are either not available at short notice or economically unviable, as integration in existing control systems and machine tools would be necessary. The paper proposes a cognitive robotic system that circumvents this problem by emulating the behaviour of operators through automated, cognitive skills. The approach uses a perception system, handling and skill modules and a skill-based control to automate in an industrial brownfield use case without additional interfaces to the existing control systems to reduce integration effort to a minimum.

中文翻译：

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棕地生产的新自动化解决方案 – 用于模拟操作员能力的认知机器人

工业公司的短期自动化解决方案有可能弥补需求波动、员工流动或短缺的影响。当前的解决方案要么无法在短时间内提供，要么在经济上不可行，因为需要集成现有的控制系统和机床。该论文提出了一种认知机器人系统，通过自动化的认知技能来模拟操作员的行为，从而规避了这个问题。该方法使用感知系统、处理和技能模块以及基于技能的控制在工业棕地用例中实现自动化，无需与现有控制系统建立额外的接口，从而将集成工作量降至最低。