Marine-Inspired Lighting through Differential Growth
A marine-inspired lighting series for the Baglietto Talent Awards, generated through a differential-growth algorithm coded in Python within Grasshopper, then refined for manufacturability and aesthetic intent.
Before the renders: this is the differential-growth system itself, ported from the original GhPython solver to run in your browser. Let it grow on its own, or switch to BRUSH and paint growth directly onto the mesh. Every fold in the lamps below came out of these same rules.
I was responsible for developing and coding the generative algorithm, including writing the differential-growth-based system in Python within Grasshopper. I then applied this algorithm to design a series of lamp concepts, refining and modifying the generated forms in Rhino. The final designs were rendered and iteratively adjusted to balance computational logic, manufacturability, and aesthetic intent.
The differential-growth system starts from a smooth, closed surface and iteratively expands it under local rules. Over successive frames the skin thickens into coral-like folds, producing a marine texture that can be applied across lighting and jewelry scales.
The same growth logic scales into a hanging chandelier. Individual modules are rotated and arrayed into concentric rings, producing a marine canopy of light.
The growth surface also works at the scale of a pendant. The same folded topology becomes wearable form on a gold chain.