Keywords: Solution space engineering, requirement decomposition, complex systems design, optimization
Scope
The combined optimisation of different robot sub-systems as a co-design problem has been shown to identify better-performing robot designs. However, classical optimisation methods result in point-optimum solutions that may not ensure physical feasibility or robust performance. The proposed method retains the design flexibility of the robot while improving the tolerance to disturbances.