The aim is to free employees from physically demanding activities, but use their cognitive abilities to solve complex situations at the same time.
The use of fully autonomous systems is not economical in all fields of application due to variable system environments or low quantities.
Semi-autonomous systems can help to relieve the burden on humans, as an operator can take control of the system at any time. This paper presents a novel approach to human-technology interaction (MTI) using adaptive automation, based on the digital twin.
A case study shows how the operator of a cyber-physical system (CPS) can be supported in specific tasks by a modular digital twin (mDT).
This enables the differentiation between short-term signal changes and long-term behaviour modification. With the concept presented, semi-autonomous systems can be developed for areas of application in which the use of autonomous systems has not been possible so far due to complex and variable system environments or low unit numbers.
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