IN_Space

IN_Space investigates the translation of algorithmic data structures into spatial configurations through robotic procedures. Positioning the robot not as a mechanical tool but as a cognitive interface between data, perception and materialisation, the project develops rule-based systems that transform external information sources into modular spatial systems across diverse materialisation methods.