Introduction
Latent RADDicals is data-driven design research that explores the architectural potential of decommissioned stone and building elements, reimagined through AI-driven processes and XR-assisted construction techniques. It investigates how upcycled components, paired with novel joinery systems, can create neoclassical-inspired designs at community and urban scales.
The project emphasises upcycled feasibility, design scalability, and resource availability in circular AEC futures, engaging design experiments with (and without) the prototyping potentials of CAAD tools — navigating the harmony of intelligence and material unpredictability.
It leverages Wave Function Collapse (WFC) as a generative algorithm, embedding real-world evidence to extract rules and patterns from materials and joinery systems, enabling iterative design processes constrained by objective realities rather than human intuition alone.