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Editorial: Machine Learning Techniques for Soft Robots.

cam.issuedOnline2021-07
dc.contributor.authorGeorge Thuruthel, Thomas
dc.contributor.authorFalotico, Egidio
dc.contributor.authorBeccai, Lucia
dc.contributor.authorIida, Fumiya
dc.contributor.orcidGeorge Thuruthel, Thomas [0000-0003-0571-1672]
dc.contributor.orcidIida, Fumiya [0000-0001-9246-7190]
dc.date.accessioned2021-09-13T23:30:35Z
dc.date.available2021-09-13T23:30:35Z
dc.date.issued2021
dc.format.mediumElectronic-eCollection
dc.identifier.doi10.17863/CAM.75385
dc.identifier.eissn2296-9144
dc.identifier.issn2296-9144
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/327932
dc.languageeng
dc.language.isoeng
dc.publisherFrontiers Media SA
dc.publisher.urlhttp://dx.doi.org/10.3389/frobt.2021.726774
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjecteditorial
dc.subjectmachine learning
dc.subjectmodeling and control
dc.subjectsoft robotics
dc.subjectsoft sensing
dc.titleEditorial: Machine Learning Techniques for Soft Robots.
dc.typeArticle
dcterms.dateAccepted2021-06-21
prism.publicationDate2021
prism.publicationNameFront Robot AI
prism.startingPage726774
prism.volume8
pubs.funder-project-idEuropean Commission Horizon 2020 (H2020) Future and Emerging Technologies (FET) (828818)
rioxxterms.licenseref.startdate2021-01
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review
rioxxterms.versionVoR
rioxxterms.versionofrecord10.3389/frobt.2021.726774

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