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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1109/ICRA46639.2022.9812378</dc:identifier><dc:language>eng</dc:language><dc:creator>Herguedas, Rafael</dc:creator><dc:creator>Aranda, Miguel</dc:creator><dc:creator>Lopez-Nicolas, Gonzalo</dc:creator><dc:creator>Sagües, Carlos</dc:creator><dc:creator>Mezouar, Youcef</dc:creator><dc:title>Multirobot control with double-integrator dynamics and control barrier functions for deformable object transport</dc:title><dc:identifier>ART-2022-129888</dc:identifier><dc:description>In this paper, we propose a formation control system for deforming and transporting simultaneously a de-formable object with a team of robots, modeled with double-integrator dynamics. The goal is to reach a target configuration, defined as a combination of shape, scale, orientation and position of the formation. We augment this controller with a set of control barrier functions (CBFs). The CBFs allow us to satisfy fundamental constraints for the success of the task: avoidance of agent-to-agent, agent-to-obstacle and object-to-obstacle collisions, and of excessive stretching. We test the performance of our proposal in different simulation scenarios.</dc:description><dc:date>2022</dc:date><dc:source>http://zaguan.unizar.es/record/129865</dc:source><dc:doi>10.1109/ICRA46639.2022.9812378</dc:doi><dc:identifier>http://zaguan.unizar.es/record/129865</dc:identifier><dc:identifier>oai:zaguan.unizar.es:129865</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/DGA-FSE/T45-20R</dc:relation><dc:relation>info:eu-repo/grantAgreement/EC/H2020/869855/EU/Advanced RoBOTic Technology for Handling SOFT Materials in MANufacturing Sectors/SOFTMANBOT</dc:relation><dc:relation>This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 869855-SOFTMANBOT</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MCIU-AEI-FEDER/PGC2018-098719-B-I00</dc:relation><dc:relation>info:eu-repo/grantAgreement/EUR/SUDOE/INTERREG/COMMANDIA-SOE2-P1-F0638</dc:relation><dc:identifier.citation>IEEE International Conference on Robotics and Automation 2022 (2022), 1485-1491</dc:identifier.citation><dc:rights>All rights reserved</dc:rights><dc:rights>http://www.europeana.eu/rights/rr-f/</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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