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Sensor Classification Methods Applied to Robotics

dc.contributor.authorLima, Miguel F. M.
dc.contributor.authorTenreiro Machado, J. A.
dc.date.accessioned2019-04-12T15:14:13Z
dc.date.embargo2112
dc.date.issued2012
dc.description.abstractThe data obtained from the robotic instrumentation can be redundant due to the multiplicity of sensors. Additionally, the study of the sensor’s data can help in optimization the design of the manipulators. In this line of thought, this paper applies two distinct methods for classification of sensors used in robotics. One of the adopted methods leads to arrange the robotic signals in terms of identical spectrum behavior. The other method is the multidimensional scaling technique applied to the correlation of the signals in the time domain. Both methods conduct to similar results, obtaining three groups of signals: the group of “positions”, the group of “currents” and the group of “forces, torques and accelerations”.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-642-33503-7_3pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/13564
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-642-33503-7_3pt_PT
dc.subjectWireless Sensor Networkpt_PT
dc.subjectFlexible Linkpt_PT
dc.subjectSensor Classificationpt_PT
dc.subjectData Fusion Modelpt_PT
dc.subjectThin Screenpt_PT
dc.titleSensor Classification Methods Applied to Roboticspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceMontreal, Quebec, Canadapt_PT
oaire.citation.endPage31pt_PT
oaire.citation.startPage23pt_PT
oaire.citation.titlethe 5th International Conference on Intelligent Robotics and Applicationspt_PT
person.familyNameTenreiro Machado
person.givenNameJ. A.
person.identifier.ciencia-id7A18-4935-5B29
person.identifier.orcid0000-0003-4274-4879
person.identifier.ridM-2173-2013
person.identifier.scopus-author-id55989030100
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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