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Recent developments in industrial robotics present an increasing degree of control in additive manufacturing, enabling customization of architectural building components at the scale of the individual unit. Combining the affordances of a 6-axis robotic arm, pastebased extrusion, and terracotta clay, Modulo Continuo presents methods for partcustomization of evaporative cooling facade modules. The design of the facade modules is developed firstly at the scale of the tectonic unit -as a self-supporting, interlocking modular system of curved modules with an embedded water reservoir for evaporative cooling. Second, this is developed at the scale of the toolpathin which the density of the infill geometry in the modules is calibrated based on principles of evaporative cooling. This research presents aesthetic and performative opportunities through an exploration of infill patterning and density of modules based on evaporative cooling requirements. To produce each curved module through additive manufacturing, curved CNC milled substrates are used to support the geometry while accommodating clay shrinkage. Furthermore, this paper presents novel digital workflows for the customization of a modular façade system and the generation of variable toolpaths for infill patterns. By developing additive manufacturing methodologies for partcustomization, the research presents future opportunities for the digital fabrication of ceramic construction elements.

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Recent advances in Natural Language Processing (NLP) and Diffusion Models (DMs) are leading to a significant change in the way architecture is conceived. With capabilities that surpass those of current generative models, it is now possible to produce an unlimited number of high-quality images (Dhariwal and Nichol 2021). This opens up new opportunities for using synthetic images and marks a new phase in the creation of multimodal 3D forms, central to architectural concept design stages. Presented here are three methodologies of generation of meaningful 2D and 3D designs, merging text-to-image diffusion models Stable Diffusion, and DALL-E 2 with computational methods. These allow designers to intuitively navigate through a multimodal feedback loop of information originating from language and aided by artificial intelligence tools. This paper contributes to our understanding of machine-augmented design processes and the importance of intuitive user interfaces (UI) in enabling new dialogues between humans and machines. Through the creation of a prototype of an accessible UI, this exchange of information can empower designers, build trust in these tools, and increase control over the design process.