In recent years carbon fibre reinforced plastics (CFRP) have gained enormous popularity in aircraft applications. Since the material is very expensive, costs have to be saved through an automated production. For the manufacturing of large structures it is often advisable to use cooperating robots. However, a major problem for the economic use of complex components is the programming of the robot paths. Manual teach-in is no feasible solution and therefore often decides if automated production is profitable. In this work, a system is presented which automatically calculates robot paths using evolutionary algorithms. The use of the proposed system allows, to reduce the commissioning time drastically and changes to the process can be made without great effort by changing the component data.

近年来，碳纤维增强塑料（CFRP）在飞机应用中获得了极大的普及。由于材料非常昂贵，因此必须通过自动化生产节省成本。对于大型结构的制造，通常建议使用协作机器人。但是，经济上使用复杂组件的主要问题是机器人路径的编程。手动示教不是可行的解决方案，因此通常会决定自动化生产是否有利可图。在这项工作中，提出了一种使用进化算法自动计算机器人路径的系统。所建议的系统的使用可以大大减少调试时间，并且可以通过更改组件数据而无需花费太多精力即可对过程进行更改。