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Kinematic robustness of manipulating systems

dc.contributor.authorGalhano, Alexandra
dc.contributor.authorTenreiro Machado, J. A.
dc.date.accessioned2019-04-08T11:39:27Z
dc.date.available2019-04-08T11:39:27Z
dc.date.issued1999-11-01
dc.description.abstractPresent day mechanical manipulators have poor performances when compared with the human arm. In fact, joint-drivem manipulators are not efficient dues to the high actuator requirements imposed by the transients of the operational tasks. Muscle-actuated arms are superior because the anatomic levers adapt the manipulating exigencies to the driving linear actuators. The kinematic analysis of these systems highlights its main properties and constitutes a step towards the design of new mechanical biological-like robotic structures adopting linear actuators replacing the standard rotational joint-driving motor systems.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/13444
dc.language.isoengpt_PT
dc.subjectMechanical manipulatorspt_PT
dc.subjectRobotic manipulatorspt_PT
dc.subjectKinematicpt_PT
dc.subjectArm biomechanicspt_PT
dc.titleKinematic robustness of manipulating systemspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlacePoprad, High Tatras, Stará Lesná, Slovakiapt_PT
oaire.citation.endPage8pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleIEEE International conference on intelligent engineering systemspt_PT
person.familyNameGalhano
person.familyNameTenreiro Machado
person.givenNameAlexandra
person.givenNameJ. A.
person.identifier.ciencia-id7A18-4935-5B29
person.identifier.orcid0000-0001-8262-1369
person.identifier.orcid0000-0003-4274-4879
person.identifier.ridM-2173-2013
person.identifier.scopus-author-id6603868968
person.identifier.scopus-author-id55989030100
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicatione3969dd5-127d-4759-8008-e057e71a1baa
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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