1 citations · 2 across the 4 of their papers we have counts for
5 papers
Real-time design of architectural structures with differentiable mechanics and neural networks
Rafael Pastrana, Eder Medina, Isabel M. de Oliveira +2
Designing mechanically efficient geometry for architectural structures like shells, towers, and bridges, is an expensive iterative process. Existing techniques for solving such inv…
JAX FDM: A differentiable solver for inverse form-finding
Rafael Pastrana, Deniz Oktay, Ryan P. Adams +1
We introduce JAX FDM, a differentiable solver to design mechanically efficient shapes for 3D structures conditioned on target architectural, fabrication and structural properties.…
Disentangling Variational Autoencoders
Rafael Pastrana
A variational autoencoder (VAE) is a probabilistic machine learning framework for posterior inference that projects an input set of high-dimensional data to a lower-dimensional, la…
Constrained Form-Finding of Tension-Compression Structures using Automatic Differentiation
Rafael Pastrana, Patrick Ole Ohlbrock, Thomas Oberbichler +2
This paper proposes a computational approach to form-find pin-jointed, bar structures subjected to combinations of tension and compression forces. The generated equilibrium states…
Three Cooperative Robotic Fabrication Methods for the Scaffold-Free Construction of a Masonry Arch
Edvard P. G. Bruun, Rafael Pastrana, Vittorio Paris +4
Geometrically complex masonry structures (e.g., arches, domes, vaults) are traditionally built with expensive scaffolding or falsework to provide stability during construction. The…