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dc.contributor.authorWampler, Charles Wilson
dc.contributor.authorGao, Dalong
dc.date.accessioned2010-10-14T15:56:59Z
dc.date.available2010-10-14T15:56:59Z
dc.date.issued2009-12
dc.identifier.issn1070-9932
dc.identifier.otherINSPEC Accession Number: 11019894
dc.identifier.urihttp://hdl.handle.net/1721.1/59326
dc.description.abstractIn the design of robotic systems that safely interact with people, it is useful to have validated criteria for measuring injury risks. To this end, some researchers have advocated the use of metrics developed for assessing automotive safety, with the head injury criterion (HIC) receiving particular attention. The aims of this commentary are to clarify the proper use of the HIC, to briefly discuss its relationship to the risk of injury, and to give a closed-form formula for the HIC value produced by a simple mass-spring model of impact. We emphasize that there are many other factors besides HIC to consider before a robot system can be considered safe to interact with humans.en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/MRA.2009.934824en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceIEEEen_US
dc.subjectrobot safetyen_US
dc.subjectrobot impacten_US
dc.subjectHead injury criterionen_US
dc.subjectHICen_US
dc.titleHead injury criterionen_US
dc.typeArticleen_US
dc.identifier.citationDalong Gao, and C.W. Wampler. “Head injury criterion.” Robotics & Automation Magazine, IEEE 16.4 (2009): 71-74. ©2009 Institute of Electrical and Electronics Engineers.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.approverWampler, Charles Wilson
dc.contributor.mitauthorWampler, Charles Wilson
dc.relation.journalIEEE Robotics & Automation Magazineen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsGao, Dalong; Wampler, Charlesen
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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