Robotic Painting Hardware & Software
@ ArtMatr
As Head of UX Research & Design at Artmatr (now Matr Labs), I drove the beta program for their cutting-edge multimedia “mattering” technology — a robotic painting system built to take digital images, refine them with Generative AI, and realize them as richly textured, physical artworks through custom brushes and mark-making tools, unique stroke patterns, and multi-layered color application.
Key responsibilities:
Delivered a 0-to-proof-of-concept (POC) robotic printing workflow connecting an artist’s digital files to the physical painting execution
In close collaboration with engineers and print-studio staff, I defined the algorithmic workflow and early software architecture for the generative art-to-robotic painting system, categorizing a range of brush and paint effects, mapping them into a physical-digital API specification so that the software could determine how to render “digital brushstrokes” in real materials.
Built the beta program that enabled real artists to test and validate the system, yielding user research insights that informed hardware calibrations, software refinements, and future production pipelines.
Software prototype (above) that lead to the future development of a custom CAD/CAM tool for creating unique brushstrokes from uploaded images (below)
