Evolutionary trajectory optimization for redundant robots

Bibliographic Details
Main Author: Marcos, Maria da Graça
Publication Date: 2011
Other Authors: Machado, J. A. Tenreiro, Azevedo-Perdicoúlis, T. P.
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.22/4213
Summary: 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.
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spelling Evolutionary trajectory optimization for redundant robotsRedundant manipulatorsKinematicsGenetic algorithmsTrajectory planningThe 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.SpringerREPOSITÓRIO P.PORTOMarcos, Maria da GraçaMachado, J. A. TenreiroAzevedo-Perdicoúlis, T. P.2014-03-17T15:42:22Z20112011-01-01T00:00:00Zbook partinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.22/4213eng978-90-481-9883-2978-90-481-9884-910.1007/978-90-481-9884-9_40info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-02T03:12:04Zoai:recipp.ipp.pt:10400.22/4213Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:46:15.127621Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Evolutionary trajectory optimization for redundant robots
title Evolutionary trajectory optimization for redundant robots
spellingShingle Evolutionary trajectory optimization for redundant robots
Marcos, Maria da Graça
Redundant manipulators
Kinematics
Genetic algorithms
Trajectory planning
title_short Evolutionary trajectory optimization for redundant robots
title_full Evolutionary trajectory optimization for redundant robots
title_fullStr Evolutionary trajectory optimization for redundant robots
title_full_unstemmed Evolutionary trajectory optimization for redundant robots
title_sort Evolutionary trajectory optimization for redundant robots
author Marcos, Maria da Graça
author_facet Marcos, Maria da Graça
Machado, J. A. Tenreiro
Azevedo-Perdicoúlis, T. P.
author_role author
author2 Machado, J. A. Tenreiro
Azevedo-Perdicoúlis, T. P.
author2_role author
author
dc.contributor.none.fl_str_mv REPOSITÓRIO P.PORTO
dc.contributor.author.fl_str_mv Marcos, Maria da Graça
Machado, J. A. Tenreiro
Azevedo-Perdicoúlis, T. P.
dc.subject.por.fl_str_mv Redundant manipulators
Kinematics
Genetic algorithms
Trajectory planning
topic Redundant manipulators
Kinematics
Genetic algorithms
Trajectory planning
description 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.
publishDate 2011
dc.date.none.fl_str_mv 2011
2011-01-01T00:00:00Z
2014-03-17T15:42:22Z
dc.type.driver.fl_str_mv book part
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/4213
url http://hdl.handle.net/10400.22/4213
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-90-481-9883-2
978-90-481-9884-9
10.1007/978-90-481-9884-9_40
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eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
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