Robot Grasping Based on Stacked Object Classification Network and Grasping Order Planning
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/143205 |
Resumo: | This work was supported by the National Key R&D Program of China (No.2018YFB-1308400) Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Robot Grasping Based on Stacked Object Classification Network and Grasping Order PlanningGrasping order planningRobot graspingStacked object classificationControl and Systems EngineeringSignal ProcessingHardware and ArchitectureComputer Networks and CommunicationsElectrical and Electronic EngineeringThis work was supported by the National Key R&D Program of China (No.2018YFB-1308400) Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.In this paper, the robot grasping for stacked objects is studied based on object detection and grasping order planning. Firstly, a novel stacked object classification network (SOCN) is proposed to realize stacked object recognition. The network takes into account the visible volume of the objects to further adjust its inverse density parameters, which makes the training process faster and smoother. At the same time, SOCN adopts the transformer architecture and has a self-attention mechanism for feature learning. Subsequently, a grasping order planning method is investigated, which depends on the security score and extracts the geometric relations and dependencies between stacked objects, it calculates the security score based on object relation, classification, and size. The proposed method is evaluated by using a depth camera and a UR-10 robot to complete grasping tasks. The results show that our method has high accuracy for stacked object classification, and the grasping order effectively and successfully executes safely.UNINOVA-Instituto de Desenvolvimento de Novas TecnologiasCTS - Centro de Tecnologia e SistemasRUNLiu, ChenluJiang, DiLin, WeiyangGomes, Luís2022-08-23T22:18:14Z2022-02-252022-02-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article15application/pdfhttp://hdl.handle.net/10362/143205eng2079-9292PURE: 42844569https://doi.org/10.3390/electronics11050706info: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:RCAAP2024-03-11T05:21:23Zoai:run.unl.pt:10362/143205Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:50:45.257730Repositório 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 |
Robot Grasping Based on Stacked Object Classification Network and Grasping Order Planning |
title |
Robot Grasping Based on Stacked Object Classification Network and Grasping Order Planning |
spellingShingle |
Robot Grasping Based on Stacked Object Classification Network and Grasping Order Planning Liu, Chenlu Grasping order planning Robot grasping Stacked object classification Control and Systems Engineering Signal Processing Hardware and Architecture Computer Networks and Communications Electrical and Electronic Engineering |
title_short |
Robot Grasping Based on Stacked Object Classification Network and Grasping Order Planning |
title_full |
Robot Grasping Based on Stacked Object Classification Network and Grasping Order Planning |
title_fullStr |
Robot Grasping Based on Stacked Object Classification Network and Grasping Order Planning |
title_full_unstemmed |
Robot Grasping Based on Stacked Object Classification Network and Grasping Order Planning |
title_sort |
Robot Grasping Based on Stacked Object Classification Network and Grasping Order Planning |
author |
Liu, Chenlu |
author_facet |
Liu, Chenlu Jiang, Di Lin, Weiyang Gomes, Luís |
author_role |
author |
author2 |
Jiang, Di Lin, Weiyang Gomes, Luís |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias CTS - Centro de Tecnologia e Sistemas RUN |
dc.contributor.author.fl_str_mv |
Liu, Chenlu Jiang, Di Lin, Weiyang Gomes, Luís |
dc.subject.por.fl_str_mv |
Grasping order planning Robot grasping Stacked object classification Control and Systems Engineering Signal Processing Hardware and Architecture Computer Networks and Communications Electrical and Electronic Engineering |
topic |
Grasping order planning Robot grasping Stacked object classification Control and Systems Engineering Signal Processing Hardware and Architecture Computer Networks and Communications Electrical and Electronic Engineering |
description |
This work was supported by the National Key R&D Program of China (No.2018YFB-1308400) Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-08-23T22:18:14Z 2022-02-25 2022-02-25T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/143205 |
url |
http://hdl.handle.net/10362/143205 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2079-9292 PURE: 42844569 https://doi.org/10.3390/electronics11050706 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
15 application/pdf |
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 |
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1799138103335583744 |