A model for adaptively generating assembly instructions using state-based graphs

Traditional systems for digital assistance in manual assembly, e.g. optical displays at the work place, are inherently suboptimal for providing efficient and ergonomically feasible worker guidance. The display of sequential instructions does not offer an increase in productivity beyond a certain degree. Little situational support and the resulting deterministic guidance lead to a reduced acceptance by the worker. A solution to this discrepancy is seen in adaptive and cognitive systems of worker guidance. In this context, the paper presents a process model for adaptively generating assembly instructions. It is part of an integrated framework for human worker observation and guidance based on state charts.