FloaTree: A System for Making Artificial Habitat Structures Informed by AI-Generated Visual Abstractions of Large Old Trees

Birds and many other living organisms rely on large old trees for their survival. However, these trees are rapidly disappearing from many landscapes. The regrowth of such trees takes hundreds of years, and in many disturbed landscapes, wildlife populations cannot persist without temporary human-made replacement structures. In 2022, Mirra et al. [1] conducted a study on the AI-based generation of 3D models, or visual abstractions, of large old trees. An AI agent analysed a dataset of these trees to identify features that appeal to animals and generated forms that approximated these features. The researchers also evaluated the usefulness of the AI-generated forms as artificial replacements for trees using morphological and cost criteria.

Building on this research, we developed our pavilion entry for the IASS 2024 design competition. Our focus was on creating (1) a design strategy to translate the AI-generated visual abstractions into buildable tensegrities, and (2) a fabrication method that facilitates the transport, assembly, and disassembly of these structures using repurposed and biodegradable materials. We named this prototype “FloaTree”. We have constructed prototype tests in Melbourne, Australia, and will build the full-scale pavilion during the annual IASS symposium in Zurich, Switzerland, in August 2024.