<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-07-08T08:44:08Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/1A85E972-5BFA-4CFD-92E1-AD897B0E3488" ns1:id="1A85E972-5BFA-4CFD-92E1-AD897B0E3488"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/948580C2-5BFD-46EC-BE48-D9F5CECF0E8A" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/99ECDD4E-83DA-4F5D-8874-28BF42AB4E1F" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/B0FBEADA-BB57-474B-A027-E0831D592219" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/2FC5D2CD-71DF-4A5D-B3A5-4EE360661FB0" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/99ECDD4E-83DA-4F5D-8874-28BF42AB4E1F" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/38CF3AB0-B06C-4A19-ACD0-386A7C74160F" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/F06E952D-CF28-43F2-9B24-BBEE7637A68A" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2026-05-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/A8785FB9-5E67-4072-951C-CB5C6FD0BEC9" ns1:rel="FUND" ns1:start="2024-05-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10111591</ns2:identifier></ns2:identifiers><ns2:title>Re Fibres - Using advanced deep learning, computer vision models, multispectral sensors &amp;amp; automated robotics to develop an end-to-end UK recycling framework for textile waste</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>Using advanced deep learning, computer vision models, multispectral sensors &amp;amp; automated robotics to develop an end-to-end UK recycling framework for waste garments.</ns2:abstractText></ns2:project>