Computational Design and Co-Robotic Fabrication for Material Reuse in Architecture
Arash Adel (1), Daniel Ruan (1), Ruxin Xie (1) ((1) Princeton University)

TL;DR
This paper introduces a computational and robotic framework for designing and constructing architectural structures using reclaimed timber, addressing challenges of material heterogeneity and promoting sustainable, circular construction practices.
Contribution
It presents an integrated data-driven design and co-robotic fabrication approach enabling the use of heterogeneous reclaimed timber in architecture.
Findings
Validated through the Timbrelyn installation demonstrating timber reuse in architecture.
Developed workflows for adaptive design and fabrication with reclaimed materials.
Showcased how feedback-driven methods can handle inventory constraints.
Abstract
Climate change and resource depletion demand a shift from the dominant linear "take-make-use-dispose" paradigm of construction toward circular, low-waste practices. Material reuse offers a promising pathway by reducing raw material extraction, mitigating waste, and extending the service lifespan of carbon-sequestering materials such as timber. Realizing this potential, however, requires addressing technical and logistical challenges across both design and construction for accommodating heterogeneous, reclaimed material inventories. This paper presents an integrated framework that couples data-driven computational design with feedback-driven adaptive human-robot collaborative (co-robotic) fabrication and assembly to enable the realization of nonstandard structures made from reclaimed timber of varying length and geometries, supplemented with new off-the-shelf timber when necessary. The…
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