Model-based approach for adaptive assembly assistance

In production environments, manual assembly is often used, when there is a high demand for flexibility which needs to be met economically. In this circumstance, assembly assistance systems are often used to ensure production standards. However, the individual requirements of each worker call for a way for the system to adapt towards the workers needs. This often requires modelling and configuration effort to include expert knowledge into an assistance system. This hinders an economical operation in an industrial environment. In this paper, an approach is presented, facilitating methods of online modelling, to generate a model, which represents the workers behavior during an assembly process. This behavior model is then used to deduce suitable adaptive assembly assistance in real time.