ll works are printed using pigment-based inks on Hahnemühle archival paper, variable dimensions, edition of 3+1 ap.
“Quasi-Objects” is an art project consisting of 3d generated videos and prints, a practice of “organic re-design” – started in 2003 and still in progress – that aims to stimulate thought and dialogue on the progressive relativisation of natural forms of life as a result of techno-biological evolution.“Quasi-Objects” regards data actualization, the production of biologically non-functional organisms and ecosystems as transient output of an operative practice: aesthetics of process.
“Life is a real and autonomous process independent from any specific material manifestation.”

Neri Oxman

Computational growth across material and urban scales offers a framework for design through self-organization, enabling the generation of vast, diverse forms exhibiting characteristics like those that emerge through the biological growth processes found in Nature. In this project, we construct an oriented volume spanned by surface normals of the shape at every point. The value of the oriented volume drives the iterative deformation of the shape. Depending on the parameterization of this process, we can obtain distinctly different growing forms. Importantly, the emergence of these forms is driven only by the time evolution of a geometric operator acting on the shapes iteratively, thereby connecting geometry and growth through an algorithm. To form the Man-Nahata landscape, the buildings of the urban landscape are transformed through repeated morphological closing operations, where the field of influence follows a gradient from the center to the outskirts of a circular region.


Xenobots – the First “Living Robots”
Researchers used the Deep Green supercomputer cluster and an evolutionary algorithm to design new life-forms that could achieve an assigned task. Then they built them by combining together different biological tissues from Xenopus laevis embryos, hence the name Xenobots.
Credit:A scalable pipeline for designing reconfigurable organisms
Sam Kriegman, Douglas Blackiston, Michael Levin, and Josh Bongard
PNAS, DOI: 10.1073/pnas.1910837117