Imagine a giant Lego set where old, broken toys are automatically taken apart by robots, cleaned up, and put back together with new pieces to make them like new again. Instead of throwing away complex machinery, this system uses digital maps and smart arms to figure out exactly how to fix and reuse parts. It turns the 'trash' of a factory back into high-quality products without needing a human to do the tedious sorting.
Remanufacturing is often too slow, manual, and inconsistent to compete with new production. Companies struggle to scale the recovery of parts because they lack automated disassembly and reliable quality data for used components.
An integrated factory-level platform combining robotic disassembly, digital twins, and Digital Product Passports for automated circular manufacturing.
If you are an EV battery remanufacturer dealing with inconsistent quality of returned cores — this project developed a factory-level platform that uses digital twins and automated inspection to ensure remanufactured parts meet original quality standards.
If you are a heavy equipment OEM dealing with high waste during product decommissioning — this project developed robotic disassembly and sorting tools that enable mass de-manufacturing and recovery of valuable components.
If you are a circularity provider dealing with poor traceability of used components — this project developed Digital Product Passports (DPPs) that provide a transparent audit of a product's lifecycle for better compliance.
Based on available project data, specific pricing or implementation costs are not provided.
Yes, the project specifically aims to deliver a factory-level platform to double the volume of remanufactured products in Europe.
Based on available project data, there is no specific information regarding IP or licensing terms.
Yes, it integrates Digital Product Passports (DPPs) and FAIR data principles to ensure traceability and compliance with EU net-zero and circular economy goals.
The system merges traditional manufacturing with robotics and automation to produce quality products from both new and remanufactured components.
The consortium is well-balanced for commercialization, consisting of 13 partners across 8 countries. With a 31% industry ratio (4 industrial partners) and 2 SMEs, the project has a strong link to market needs, supported by 4 universities and 4 research centers to handle the technical complexity of AI and robotics.
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