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dc.contributor.authorBodo, Giulia
dc.contributor.authorTessari, Federico
dc.contributor.authorBuccelli, Stefano
dc.contributor.authorLaffranchi, Matteo
dc.date.accessioned2024-03-12T19:24:31Z
dc.date.available2024-03-12T19:24:31Z
dc.date.issued2024-02-29
dc.identifier.issn2076-3417
dc.identifier.urihttps://hdl.handle.net/1721.1/153662
dc.description.abstractIn the last decade, robotic-mediated rehabilitation has emerged as a potential solution to improve repetitive task training. Each device in this field has a unique development history shaped by engineers’ expertise in specific programming languages or platforms. In this work we adopt an approach that tries to abstract from the final implementation with the aim to make control logic more shareable and understandable. The authors will present the outcomes of the application of a Rapid Control Prototyping strategy to an upper-limb robotic exoskeleton. A model-based design approach implemented on a real-time target machine is presented. This modern design approach was explored with several control strategies and was used to test the exoskeleton’s performances. The proposed method highlights how it is possible to develop the entire control architecture in a single programming environment.en_US
dc.publisherMultidisciplinary Digital Publishing Instituteen_US
dc.relation.isversionof10.3390/app14052017en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceMultidisciplinary Digital Publishing Instituteen_US
dc.subjectFluid Flow and Transfer Processesen_US
dc.subjectComputer Science Applicationsen_US
dc.subjectProcess Chemistry and Technologyen_US
dc.subjectGeneral Engineeringen_US
dc.subjectInstrumentationen_US
dc.subjectGeneral Materials Scienceen_US
dc.titleA Rapid Control Prototyping and Hardware-in-the Loop Approach for Upper Limb Robotic Exoskeletons Controlen_US
dc.typeArticleen_US
dc.identifier.citationApplied Sciences 14 (5): 2017 (2024)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journalApplied Sciencesen_US
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2024-03-12T16:38:23Z
dspace.date.submission2024-03-12T16:38:23Z
mit.journal.volume14en_US
mit.journal.issue5en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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