yufujia
The space layout of a reasonable modular building prototype is a time[1]consuming and complex process. Many studies have achieved the optimization of automatic spatial layouts based on spatial adjacency simulation. Although machine produced plans satisfy the adjacency and area constraints, people still need further manual modifications to meet other spatially complex design requirements. Motivated by this, we are trying to provide a human-machine collaborative design workflow that simulates the spatial adjacency relationship based on physical models. Compared with previous works, our workflow enhances the automated space layout process by allowing designers to use environment anchors making decisions in automatic layout iterations. A case study is proposed to demonstrate that the solution generated by workflow can initially complete different customized design tasks. The workflow combines the advantages of the designer's decision-making experience in manual modelling with the machine's ability in rapid automated layout. In the future, it has the potential to be developed into a designer-machine collaboration tool in completing complex building design tasks.
Keywords: Spatial adjacency simulation, Physical model, Responsive design process, Human-machine collaborative workflow, Real-time visualization.
Detailed goals of our workflow are: 1. Utilizing physical models based on simulating spatial adjacency relationships to automate spatial layouts to meet customized design tasks needs (adjacency, area, geometric relationships, etc.) 2. Enable designers to manually control the nodes in an interactive way. Designers can set and move the environment anchor in the system to determine the final layout generated by machines. The workflow has the ability to solve different prototype design tasks (PDT) initially.
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