Smart textiles—ranging from socks that monitor health data to illuminated running jackets—are revolutionizing our daily lives, but as waste, they present a massive environmental challenge. Because these garments consist of an inseparable blend of textile fibers and electronic components, traditional sorting plants are unable to process them. Researchers at Osnabrück University of Applied Sciences are now developing a system based on robotics and artificial intelligence capable of identifying and separating this “hybrid” waste, paving the way for a sustainable, regional circular economy.
The project is led by Prof. Dr.-Ing. Steffen Greiser (Automation Technology) and Prof. Dr.-Ing. Jens Schäfer (Technical Product Development). The researchers emphasize that Germany currently generates approximately 1.3 million tonnes of used clothing annually, much of which is shipped to countries with cheap labor for manual sorting. With the proliferation of smart textiles, this process will become not only unethical but technologically unfeasible.
Quantitative Data and Project Background
The development in Osnabrück is more than just theoretical research; it is an industrial innovation backed by significant resources:
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Budget: The two-year project (October 2025 – September 2027) is supported by approximately €422,000 from the European Regional Development Fund (ERDF) and the state of Lower Saxony.
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Waste Volume: Germany collects 1.3 million tonnes of used or worn-out clothing every year, of which only a tiny fraction currently finds its way back into a true circular loop (mostly as cleaning rags or through incineration).
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Precision: The multispectral cameras and 3D sensors under development aim for robots to identify electronic chips (such as RECO-chips) and sensors within textile heaps with nearly 100% accuracy.
The Challenge: Robots in “Soft Chaos”
Professor Steffen Greiser pointed out that textile sorting is one of the most difficult areas in robotics. While the automotive industry works with rigid parts, clothes are soft, they crease, lie in piles, and randomly obscure one another.
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Perception and Algorithms: Robots must be “taught” how to recognize specific materials even when they are tangled. To achieve this, the team uses advanced algorithms and specialized sensors that can “see through” textile layers.
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Selective Separation: Once the system identifies a smart garment, a robotic arm extracts it from the mass for separate handling, preventing valuable electronics (and rare metals) from being lost in traditional textile shredders.
Smart Textiles: Boon or Bane?
The market for Smart Textiles is growing exponentially. No longer limited to the military or emergency services, they are becoming standard in sportswear and elderly care (e.g., fall-detection clothing).
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Complexity: These garments contain integrated LEDs, GPS modules, heating elements, or pressure sensors.
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The Solution: According to Professor Jens Schäfer, sorting is only one side of the coin; the other half of the research focuses on “Design for Recycling.” The goal is to design garments so that electronic elements can be easily snapped off or chemically extracted.
Regional Circulation Instead of Distant Export
One of the project’s most important social commitments is sustainability. Currently, clothes are transported in containers to the other side of the world, resulting in massive CO2 emissions. The researchers in Osnabrück and Lingen aim for robotic units to perform this work locally at logistics centers. This would allow raw materials—such as cotton, polyester, and precious metals—to be returned directly to regional industries.
Official Sources and References:
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Hochschule Osnabrück – Official Press Release (Feb 26, 2026): https://www.hs-osnabrueck.de/nachrichten/2026/02/hochschule-osnabrueck-forscht-an-recycling-smarter-textilien/
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Informationsdienst Wissenschaft (idw) – Research Report: https://idw-online.de/de/news866600
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HS Osnabrück Research Database – ReSiST-AR Project Details: https://www.hs-osnabrueck.de/forschung/recherche/forschungsdatenbank/az-item/resist-ar-recycling-strategies-of-smart-textiles-automated-robotics/
