Generating human-like movements on an anthropomorphic robot using an interior point method
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , , |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/27485 |
Resumo: | In previous work we have presented a model for generating human-like arm and hand movements on an anthropomorphic robot involved in human-robot collaboration tasks. This model was inspired by the Posture-Based Motion-Planning Model of human movements. Numerical results and simulations for reach-to-grasp movements with two different grip types have been presented previously. In this paper we extend our model in order to address the generation of more complex movement sequences which are challenged by scenarios cluttered with obstacles. The numerical results were obtained using the IPOPT solver, which was integrated in our MATLAB simulator of an anthropomorphic robot. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
spelling |
Generating human-like movements on an anthropomorphic robot using an interior point methodLarge-scale nonlinear optimizationIPOPTHuman-like movementsAnthropomorphic robotHuman-robot collaborationScience & TechnologyIn previous work we have presented a model for generating human-like arm and hand movements on an anthropomorphic robot involved in human-robot collaboration tasks. This model was inspired by the Posture-Based Motion-Planning Model of human movements. Numerical results and simulations for reach-to-grasp movements with two different grip types have been presented previously. In this paper we extend our model in order to address the generation of more complex movement sequences which are challenged by scenarios cluttered with obstacles. The numerical results were obtained using the IPOPT solver, which was integrated in our MATLAB simulator of an anthropomorphic robot.EU funded Project PF7 Marie Curie ``NETT - Neural Engineering Transformative Technologies'', by FEDER funds through COMPETE (Operational Programme Thematic Factors of Competitiveness) and by portuguese funds through FCT (Foundation for Science and Technology) within the projects PEst-C/MAT/UI0013/2011 and FCOMP-01-0124-FEDER-022674.AIP PublishingUniversidade do MinhoSilva, Eliana Oliveira CostaAraújo, José Pedro FerreiraMachado, DarioCosta, M. Fernanda P.Erlhagen, WolframBicho, E.20132013-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/27485eng97807354118450094-243X10.1063/1.4825563http://dx.doi.org/10.1063/1.4825563info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-11T04:55:19Zoai:repositorium.sdum.uminho.pt:1822/27485Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-11T04:55:19Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Generating human-like movements on an anthropomorphic robot using an interior point method |
title |
Generating human-like movements on an anthropomorphic robot using an interior point method |
spellingShingle |
Generating human-like movements on an anthropomorphic robot using an interior point method Silva, Eliana Oliveira Costa Large-scale nonlinear optimization IPOPT Human-like movements Anthropomorphic robot Human-robot collaboration Science & Technology |
title_short |
Generating human-like movements on an anthropomorphic robot using an interior point method |
title_full |
Generating human-like movements on an anthropomorphic robot using an interior point method |
title_fullStr |
Generating human-like movements on an anthropomorphic robot using an interior point method |
title_full_unstemmed |
Generating human-like movements on an anthropomorphic robot using an interior point method |
title_sort |
Generating human-like movements on an anthropomorphic robot using an interior point method |
author |
Silva, Eliana Oliveira Costa |
author_facet |
Silva, Eliana Oliveira Costa Araújo, José Pedro Ferreira Machado, Dario Costa, M. Fernanda P. Erlhagen, Wolfram Bicho, E. |
author_role |
author |
author2 |
Araújo, José Pedro Ferreira Machado, Dario Costa, M. Fernanda P. Erlhagen, Wolfram Bicho, E. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Silva, Eliana Oliveira Costa Araújo, José Pedro Ferreira Machado, Dario Costa, M. Fernanda P. Erlhagen, Wolfram Bicho, E. |
dc.subject.por.fl_str_mv |
Large-scale nonlinear optimization IPOPT Human-like movements Anthropomorphic robot Human-robot collaboration Science & Technology |
topic |
Large-scale nonlinear optimization IPOPT Human-like movements Anthropomorphic robot Human-robot collaboration Science & Technology |
description |
In previous work we have presented a model for generating human-like arm and hand movements on an anthropomorphic robot involved in human-robot collaboration tasks. This model was inspired by the Posture-Based Motion-Planning Model of human movements. Numerical results and simulations for reach-to-grasp movements with two different grip types have been presented previously. In this paper we extend our model in order to address the generation of more complex movement sequences which are challenged by scenarios cluttered with obstacles. The numerical results were obtained using the IPOPT solver, which was integrated in our MATLAB simulator of an anthropomorphic robot. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013 2013-01-01T00:00:00Z |
dc.type.driver.fl_str_mv |
conference paper |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/27485 |
url |
http://hdl.handle.net/1822/27485 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
9780735411845 0094-243X 10.1063/1.4825563 http://dx.doi.org/10.1063/1.4825563 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
AIP Publishing |
publisher.none.fl_str_mv |
AIP Publishing |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
_version_ |
1817544460223905792 |