Painting processes are essential to give products specific surface properties. While painting in mass production is mostly automated, in small batch sizes, the paint application is manually carried out by employees. Workers are exposed to significant physical strain during this process. Protective clothing and respirators are essential due to harmful paint components, and challenging body postures, such as overhead painting, pose additional difficulties. Additionally, this manual process is very cost-intensive. Therefore, the MemoLaRo project aims to design a future-proof painting workspace that significantly improves working conditions for employees. The goal is to develop assistive painting robots that, with the help of sensor systems and automated painting programs, can efficiently paint components.
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