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Statistical modelling of robot manipulators

dc.contributor.authorGalhano, Alexandra
dc.contributor.authorTenreiro Machado, J. A.
dc.contributor.authorCarvalho, J. L. Martins de
dc.date.accessioned2019-03-26T14:39:19Z
dc.date.available2019-03-26T14:39:19Z
dc.date.issued1990-08-20
dc.description.abstractA novel approach to the modelling of robot manipulators is presented. Usually, system descriptions are based on a set od differential equations which, due to their nature, lead to very precise results and strategies but, in general, require laborious computations. This motivates the need of alternative methods based on other mathematical concepts. The proposed statistical model gives clear guidelines towards the robot kinematic and dynamic optimization and the definition of rest and active manipulation regions. Furthermore, the results point out ideal properties for the actuators namely as "position and acceleration" devices instead of "velocity" machines. This observation is utmost importance as it gives a basis to new mechanical robot manipulator structures, with performances close to biomechanical systems.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/13145
dc.language.isoengpt_PT
dc.titleStatistical modelling of robot manipulatorspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBogaziçi University, Istanbull, Turkeypt_PT
oaire.citation.endPage8pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleIEEE International Workshop on intelligent motion controlpt_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.latestForDiscoverye3969dd5-127d-4759-8008-e057e71a1baa

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