Researchers at Osnabrück University of Applied Sciences have launched a two-year initiative to develop an AI-powered robotic system capable of identifying and sorting smart textiles for recycling. The project, known as ReSiST-AR, aims to address sustainability challenges posed by garments embedded with sensors, wiring, and electronic modules.
Traditional recycling systems struggle to process e-textiles, which often contain concealed components and flexible materials that complicate automated handling. The research team is building a robotic platform equipped with multispectral cameras and 3D sensors to scan mixed clothing streams. AI-based classification models analyze structural and visual data to distinguish fabric types and detect embedded electronics in real time.
Led by automation researcher Steffen Greiser, the initiative seeks to reduce reliance on manual sorting and overseas processing. The project also explores design-for-recycling principles, examining how electronics can be integrated into textiles in ways that simplify removal at end of life.
By combining robotics, advanced sensing, and machine learning, the effort highlights how physical AI systems are being deployed to support circular economy infrastructure.
