| dc.contributor.author | Marcos, Maria da Graça | |
| dc.contributor.author | Machado, J. A. Tenreiro | |
| dc.contributor.author | Azevedo-Perdicoúlis, T. P. | |
| dc.date.accessioned | 2014-03-17T15:42:22Z | |
| dc.date.available | 2014-03-17T15:42:22Z | |
| dc.date.issued | 2011 | |
| dc.description.abstract | The trajectory planning of redundant robots is an important area of research and efficient optimization algorithms have been investigated in the last years. This paper presents a new technique that combines the closed-loop pseudoinverse method with genetic algorithms. In this case the trajectory planning is formulated as an optimization problem with constraints. | por |
| dc.identifier | DOI 10.1007/978-90-481-9884-9_40 | |
| dc.identifier.doi | 10.1007/978-90-481-9884-9_40 | |
| dc.identifier.isbn | 978-90-481-9883-2 | |
| dc.identifier.isbn | 978-90-481-9884-9 | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/4213 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | por |
| dc.publisher | Springer | por |
| dc.relation.ispartofseries | Nonlinear Science and Complexity; | |
| dc.relation.publisherversion | http://link.springer.com/chapter/10.1007%2F978-90-481-9884-9_40 | por |
| dc.subject | Redundant manipulators | |
| dc.subject | Kinematics | |
| dc.subject | Genetic algorithms | |
| dc.subject | Trajectory planning | |
| dc.title | Evolutionary trajectory optimization for redundant robots | por |
| dc.type | book part | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 353 | por |
| oaire.citation.startPage | 347 | por |
| oaire.citation.title | Nonlinear Science and Complexity | por |
| person.familyName | Tenreiro Machado | |
| person.givenName | J. A. | |
| person.identifier.ciencia-id | 7A18-4935-5B29 | |
| person.identifier.orcid | 0000-0003-4274-4879 | |
| person.identifier.rid | M-2173-2013 | |
| person.identifier.scopus-author-id | 55989030100 | |
| rcaap.rights | openAccess | por |
| rcaap.type | bookPart | por |
| relation.isAuthorOfPublication | 82cd5c17-07b6-492b-b3e3-ecebdad1254f | |
| relation.isAuthorOfPublication.latestForDiscovery | 82cd5c17-07b6-492b-b3e3-ecebdad1254f |
