<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-14T04:42:40Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2117/442287" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2117/442287</identifier><datestamp>2026-01-28T06:59:18Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452950</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>BiFold: bimanual cloth folding with language guidance</dc:title>
   <dc:creator>Barbany Mayor, Oriol</dc:creator>
   <dc:creator>Colomé Figueras, Adrià</dc:creator>
   <dc:creator>Torras, Carme</dc:creator>
   <dc:contributor>Universitat Politècnica de Catalunya. Doctorat en Intel·ligència Artificial</dc:contributor>
   <dc:contributor>Institut de Robòtica i Informàtica Industrial</dc:contributor>
   <dc:contributor>Universitat Politècnica de Catalunya. ROBiri - Grup de Percepció i Manipulació Robotitzada de l'IRI</dc:contributor>
   <dc:subject>Àrees temàtiques de la UPC::Informàtica::Robòtica</dc:subject>
   <dc:subject>Adaptation models</dc:subject>
   <dc:subject>Visualization</dc:subject>
   <dc:subject>Translation</dc:subject>
   <dc:subject>Shape</dc:subject>
   <dc:subject>Clothing</dc:subject>
   <dc:subject>Benchmark testing</dc:subject>
   <dc:subject>Robustness</dc:subject>
   <dc:subject>Topology</dc:subject>
   <dc:subject>Robots</dc:subject>
   <dc:subject>Standards</dc:subject>
   <dc:description>Cloth folding is a complex task due to the inevitable self-occlusions of clothes, their complicated dynamics, and the disparate materials, geometries, and textures that garments can have. In this work, we learn folding actions conditioned on text commands. Translating high-level, abstract instructions into precise robotic actions requires sophisticated language understanding and manipulation capabilities. To do that, we leverage a pre-trained vision-language model and repurpose it to predict manipulation actions. Our model, BiFold, can take context into account and achieves state-of-the-art performance on an existing language-conditioned folding benchmark. To address the lack of annotated bimanual folding data, we introduce a novel dataset with automatically parsed actions and language-aligned instructions, enabling better learning of text-conditioned manipulation. BiFold attains the best performance on our dataset and demonstrates strong generalization to new instructions, garments, and environments.</dc:description>
   <dc:description>This work was funded by project SGR 00514 (Departament de Recerca i Universitats de la Generalitat de Catalunya) and CSIC project 202350E080 (ClothIRI). O.B. acknowledges travel support from ELISE (GA no 951847).</dc:description>
   <dc:description>Peer Reviewed</dc:description>
   <dc:description>Postprint (author's final draft)</dc:description>
   <dc:date>2025</dc:date>
   <dc:type>Conference lecture</dc:type>
   <dc:identifier>Barbany, O.; Colome, A.; Torras, C. BiFold: bimanual cloth folding with language guidance. A: IEEE International Conference on Robotics and Automation. «2025 IEEE International Conference on Robotics and Automation (ICRA 2025): Atlanta, USA: May 19-23, 2025». Institute of Electrical and Electronics Engineers (IEEE), 2025, p. 5652-5659. ISBN 979-8-3315-4139-2. DOI 10.1109/ICRA55743.2025.11127549 .</dc:identifier>
   <dc:identifier>979-8-3315-4139-2</dc:identifier>
   <dc:identifier>https://hdl.handle.net/2117/442287</dc:identifier>
   <dc:identifier>10.1109/ICRA55743.2025.11127549</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>https://ieeexplore.ieee.org/document/11127549</dc:relation>
   <dc:rights>Open Access</dc:rights>
   <dc:format>8 p.</dc:format>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Institute of Electrical and Electronics Engineers (IEEE)</dc:publisher>
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