Robotic Fabrication Simulation
A Computational Method for the Design of Fabrication-aware Spatial Structures
A Thesis Submitted to Attain the degree of Doctor of Sciences of ETH Zurich
The development of computational design technologies and prefabrication systems have enabled the construction of bespoke long-span spatial structures. However, the construction of such structures still relies on wasteful milling processes for the production of custom parts and labor-intensive processes for their manual assembly.
Building upon prefabrication systems, several institutions investigated robotic processes for the automatic construction of bespoke spatial structures. However, the new challenges introduced by these complex processes have been only handled through inefficient and project-specific fabrication strategies that lead to constrained designs.
This thesis by Augusto Gandia, investigates computational design methods to tackle two of the most relevant challenges of robotically assembling spatial structures, which include the generation of collision-free robot paths and the handling of tolerance build-up. The two methods enable the computational rationalization of spatial structures, meaning that they allow verifying input designs on their buildability.
Such verification is pursued through two complementary strategies. The first strategy is computational post-rationalization and allows verifying a design after it is defined. The second strategy is computational co-rationalization and allows re-adjusting a design while verifying its buildability.
The ultimate goal of this thesis is to extend the range of spatial structures that can be robotically fabricated through efficient and less wasteful construction processes. An additional goal is to enable the computational rationalization of the structure ahead of the construction phase to explore a wider range of spatial structures.
The investigation complements the investigation of other research projects, by integrating the methods researched by this thesis within the design workflow of these projects. This integration allows validating the methods through the computational rationalization of large-scale spatial structures and their realization in the Robotic Fabrication Laboratory at ETH Zurich.