Demand compliant design of robotic systems

The scarcity of methods for generating innovation systematically, quickly and without mistakes is felt across the technology intensive industries. An emerging autonomous robot industry produce the most complex artefacts ever made and stands to benefit most from effective design methods. In previous work, we described a framework for demand compliant design based on the existence of a demand catalogue and a method specific design database. In this paper, we show how to apply the method to an efficient exploration of design space starting a small and ill defined set of demands. Both the demand catalogue and design data are generated iteratively during the design process. We illustrate this process with the design of a hearing module for robots.