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On the analysis and design of robot manipulators: A statistical perspective

dc.contributor.authorGalhano, Alexandra
dc.contributor.authorTenreiro Machado, J. A.
dc.contributor.authorCarvalho, J. L. Martins de
dc.date.accessioned2019-03-26T14:10:02Z
dc.date.available2019-03-26T14:10:02Z
dc.date.issued1990-03-29
dc.description.abstractA new approach to the analysis and design of robot manipulators is presented. The novel feature resides on a non-standard formulation to the modelling problem. Usually, system descriptions and based on a set of differential equations which, due to thier nature lead to very precise results and strategies but, in general, require laborious computations. Yhis motivates the need of alternative models based on other mathematical concepts. The proposed statistical method is a step in this direction which gives clear guidelines towards the robot kinematic and dynamic optimization. Furthermore, the proposed method points out new concepts well adapted to the study of biological-like muscleactuated robotic arms.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/13140
dc.language.isoengpt_PT
dc.titleOn the analysis and design of robot manipulators: A statistical perspectivept_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceKeio University, Yokohama, Japanpt_PT
oaire.citation.endPage12pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleIEEE International Workshop on Advanced 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.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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