CoDeLab is a post-disciplinary research and learning laboratory exploring critical questions and creative opportunities at the nexus of design, computation, and the built environment.

Developing advanced robotic methods for finishing concrete and other hardset materials in architectural construction. This project combines computer vision, force sensing, and adaptive path planning to enable precise surface treatment by industrial robots.

Computer-aided design (CAD) software systems are cultural artifacts which have re-structured the work and lived experience of architects, engineers, and other designers. The Experimental Archaeology of CAD research group explores these through an innovative methodological repertoire combining historical research with software reconstruction, emulation, and speculation. Combining critical-historical reflection and hands-on prototyping, the project illuminates conceptual, visual, and sensual aspects of these systems — and instigates new ideas that help us to re-imagine their future.

Digital documentation of endangered architectural heritage using photogrammetry, drone photography, computer vision, 3D reconstruction, and deep learning. Focus on at-risk physical sites and urban heritage at the frontier of preservation.