From Idea to CAD: A Language Model-Driven Multi-Agent System for Collaborative Design

In modern product development, Computer Aided Design and Engineering (CAD/E) plays a key role to turn innovative ideas and visions into tangible and manufacturable designs. Digital 2D and 3D geometry representations of objects on different levels of granularity are required in various intermediate development steps, for example aesthetic discussions, design quality evaluations based on simulation tools, and design feasibility checks. For these steps, development teams include various roles such as requirement engineers, style designers, Computer-Aided Design (CAD) experts, simulation domain experts, and quality assurance teams who create a product cooperatively. Stakeholders in these roles utilize software tools to implement digital representations of products, also referred to as digital twins. This process receives an increasing amount of support in the form of Artificial Intelligence (AI) methods. For example, data science methods provide efficient ways to improve the problem understanding, e.g., by calculating design sensitivities towards a certain performance aspect [Gräning and Sendhoff, 2014], or displaying the distribution of design variations in the solution space using clustering [Lanfermann et al., 2020].