Integrating sensing with robotic fabrication procedures, the research wants to investigate potential methods for analysing qualitative material feedback and integrate them into the design environment as the fabrication unfolds. To achieve this, the research proposes the development of an adaptive framework for subtractive fabrication strategies where the stages of design and fabrication are not arranged in a linear fashion but rather in a continuously updating loop informed by sensor data and sequential training sessions. Giulio Brugnaro is a trained architect with a strong interest in computational tools and robotic fabrication for architectural production. He is currently Phd Candidate / Research Assistant (Marie Curie Trainee) at The Bartlett School of Architecture in London as part of the InnoChain Research Network. His research focuses on exploring adaptive robotic fabrication processes and sensing methods that allow designers to engage with the qualitative properties of heterogeneous materials.
