Campo DC | Valor | Idioma |
dc.contributor.author | Motta, José Maurício Santos Torres | - |
dc.contributor.author | Mcmaster, Robert S. | - |
dc.date.accessioned | 2014-05-21T16:34:11Z | - |
dc.date.available | 2014-05-21T16:34:11Z | - |
dc.date.issued | 1999-09 | - |
dc.identifier.citation | MOTTA, José Maurício S. T.; MCMASTER, R. S. Modeling, optimizing and simulating robot calibration with accuracy improvement. Journal of the Brazilian Society of Mechanical Sciences, Rio de Janeiro, v. 21, n. 3, p. 384-401, set. 1999. Disponível em: <http://www.scielo.br/scielo.php?pid=S0100-73861999000300002&script=sci_arttext>. Acesso em: 21 maio 2014. | en |
dc.identifier.uri | http://repositorio.unb.br/handle/10482/15644 | - |
dc.language.iso | Inglês | en |
dc.publisher | Associação Brasileira de Engenharia e Ciências Mecânicas - ABCM | en |
dc.rights | Acesso Aberto | en |
dc.title | Modeling, optimizing and simulating robot calibration with accuracy improvement | en |
dc.type | Artigo | en |
dc.subject.keyword | Calibração | en |
dc.subject.keyword | Robótica | en |
dc.rights.license | The Brazilian Society of Mechanical Sciences and Engineering - Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons(Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)). Fonte: http://www.scielo.br/scielo.php?script=sci_serial&pid=1678-5878&lng=pt&nrm=iso. Acesso em: 26 set. 2012. | en |
dc.identifier.doi | http://dx.doi.org/10.1590/S0100-73861999000300002 | en |
dc.description.abstract1 | This work describes techniques for modeling, optimizing and simulating calibration processes ofrobots using off-line programming. The identification of geometric parameters of the nominalkinematic model is optimized using techniques of numerical optimization of the mathematicalmodel. The simulation of the actual robot and the measurement system is achieved by introducingrandom errors representing their physical behavior and its statistical repeatability. An evaluationof the corrected nominal kinematic model brings about a clear perception of the influence ofdistinct variables involved in the process for a suitable planning, and indicates a considerableaccuracy improvement when the optimized model is compared to the non-optimized one. | - |
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