Reproducing the Human Brushstroke Publication by Former Fellow Liat Grayver
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Schürmann, L., D’Angelo, G., Grayver, L. et al. A neuromorphic electronic artist for robotic painting. Sci Rep 15, 19561 (2025).
A newly published paper in Nature’s Scientific Reports presents the outcomes of “Synaesthetic Strokes.“ The interdisciplinary artistic project was developed during Liat Grayver's fellowship at the Collegium. The paper now introduces a novel approach to exploring the creative potential of biologically inspired technologies for generating robotic brushstrokes—moving beyond the replication of visual forms to engage with the embodied, tactile, and perceptual knowledge inherent in human brushstrokes.
As the artist behind the project and co-author of the newly published paper, Liat led both the conceptual development and the physical implementation of “Synaesthetic Strokes,” drawing on over two decades of experience in painting and traditional printmaking. Departing from conventional notions of painting as image-making, the project focused instead on the gestural act as a site of inquiry. The system was designed to respond to subtle parameters—such as brush deformation, tilt, pressure, and the unpredictable behavior of ink on paper—that artists typically navigate through embodied intuition.
The outcome was a dynamic, performative collaboration between human and machine, resulting in immersive visual works where robotic and human brushstrokes intersect in a layered dialogue. The final installation was featured in the exhibition “Data Alchemy” at the Collegium, inviting visitors to navigate a dense landscape of interwoven gestures and reflect on authorship, perception, and creative agency in the age of intelligent systems.