Hand to Machine I | 2023
Graduate Thesis: University of Toronto.
Supervisor: John Shnier
Hand to Machine represents a series of physical models translated into the digital realm through 3D scanning, to explore the scalability of handcraft in architecture. The goal is to leverage the strengths of both realms, combining the intentionality and creativity of the human hand with the efficiency of digital tools.
In both the physical and the digital forms, these models investigate the relationship between unit size and homogeneity, seeking to understand the essence of monolithic structures, even when comprised of smaller components. Recognizing that architecture is a composition of individual units, the exploration of the interpretation of individual pieces versus the whole becomes crucial.
These models challenge the boundaries of this inquiry through a combination of diverse unit sizes, materials, and the integration of precise machine cuts, found conditions, and the inherent inaccuracies of hand-shaped objects. The digitalized model extends this exploration by isolating specific parts, experimenting with varied combinations, and testing digital material textures to create drawings that evoke spaces suspended between nature and architecture.
The research suggests potential future applications for this workflow, envisioning the possibility of architects gaining access to digital libraries of natural materials composed of identical avatars. This resource could be utilized for more evocative material-based design work, opening up new possibilities.
This work is part of a year-long graduate thesis project titled Stone Portraits that investigates the power of materials in design and engages with stone intimately.
Material Board Development
Digital Images Development
Size & Images Selction Tests
