用回收木材建非标准建筑，结合智能设计与人机协作制造。
Computational Design and Co-Robotic Fabrication for Material Reuse in Architecture
- 通过数据驱动设计+人机协同机器人制造，适配不同长度的回收木材。
- 建成案例Timbrelyn，证明回收木材可支撑复杂结构与建筑设计表达。
- 适合关注可持续建造、数字制造与材料循环的建筑师和工程师。
气候变化与资源枯竭要求建筑行业从“取材-制造-使用-废弃”的线性模式转向循环、低废的实践。材料再利用能减少原材料开采、降低废弃物并延长碳汇材料（如木材）的使用寿命。然而，实现这一潜力需解决设计与施工环节中应对异质回收材料库存的技术与物流挑战。本文提出一个集成框架，将数据驱动的计算设计与反馈驱动的人机协同（co-robotic）制造装配相结合，支持使用长度与几何形状各异的回收木材构建非标准结构，并在必要时补充现成新木材。该框架通过建成案例Timbrelyn验证，展示了木材再利用如何赋能并提升建筑设计表达。本工作推动了从设计到制造的一体化流程发展，采用自适应、反馈驱动的方法应对库存限制与回收材料不确定性，促进新建筑与结构中的材料再利用。
原文摘要 · Abstract (English)
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 framework is validated through Timbrelyn, a built case-study installation that demonstrates how timber reuse can inform and enhance architectural expression. This work contributes to the development of integrated design-to-fabrication workflows that advance adaptive, feedback-driven methods to handle inventory constraints and reclaimed material uncertainties, facilitating material reuse in the design and construction of new buildings and structures.
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