Living Architecture
RC3 studio interrogates the notion of Living Architecture as a coupling of living systems with the assembly and formation of architecture.
with: Tyson Hosmer, Octavian Gheorgiou, Valentina Soana
Our research focuses on developing experimental design models embedded with the ability to self-organize, self-assess, and self-improve using machine learning methods. It seeks to embed local adaptability directly into the design process by training our models to learn to adjust and reconfigure to unforeseen and changing needs and conditions. One thread of the research focuses on physical reconfiguration enabled through autonomous robotic assembly systems that are tuned and trained in digital simulation environments. Another thread focuses on design models that apply artificial intelligence to spatial organization to improve at solving multi-objective architectural problems. Rather than treating the elements of architecture as layers that are optimized separately, this model improves itself at negotiating between multiple potentially changing objectives through the configuration and assembly of simple parts.
Some examples of our can be found here http://papers.cumincad.org/data/works/att/acadia19_16.pdf
