We employed text-to-image generation techniques to generate designs for "Andrones," robotic drones modeled after ants. Our objective was to test the capabilities of these models in creating innovative and functional designs inspired by the visual characteristics of ants.
Drones are male ants that have a specific function in the colony. They are typically larger in size and have larger eyes than female worker ants. Their primary role is to mate with the queen ant in order to fertilize her eggs. Drones do not participate in foraging for food or caring for the young and do not have a sting. They are usually produced during the reproductive season and die soon after mating.
We employed generative AI models to quickly create a diverse range of designs for Andrones. However, it is unclear to us how these designs are materially different from existing drone products. Some of the designs generated by the text-to-image model are shown below.
This post is part of a series of articles on the use of generative AI for bioinspired product ideation. The use of AI for product concept generation allows for the quick creation of many potentially novel designs, which could then be evaluated and refined to select the most promising concepts to move to the next stage of the product development process.