Human-like arm motion generation: a review
| Main Author: | |
|---|---|
| Publication Date: | 2020 |
| Other Authors: | , |
| Format: | Article |
| Language: | eng |
| Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Download full: | http://hdl.handle.net/1822/69736 |
Summary: | In the last decade, the objectives outlined by the needs of personal robotics have led to the rise of new biologically-inspired techniques for arm motion planning. This paper presents a literature review of the most recent research on the generation of human-like arm movements in humanoid and manipulation robotic systems. Search methods and inclusion criteria are described. The studies are analyzed taking into consideration the sources of publication, the experimental settings, the type of movements, the technical approach, and the human motor principles that have been used to inspire and assess human-likeness. Results show that there is a strong focus on the generation of single-arm reaching movements and biomimetic-based methods. However, there has been poor attention to manipulation, obstacle-avoidance mechanisms, and dual-arm motion generation. For these reasons, human-like arm motion generation may not fully respect human behavioral and neurological key features and may result restricted to specific tasks of human-robot interaction. Limitations and challenges are discussed to provide meaningful directions for future investigations. |
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Human-like arm motion generation: a reviewHuman-like motionHumanoid robotsArm motion planningLiterature reviewEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaScience & TechnologyIndústria, inovação e infraestruturasIn the last decade, the objectives outlined by the needs of personal robotics have led to the rise of new biologically-inspired techniques for arm motion planning. This paper presents a literature review of the most recent research on the generation of human-like arm movements in humanoid and manipulation robotic systems. Search methods and inclusion criteria are described. The studies are analyzed taking into consideration the sources of publication, the experimental settings, the type of movements, the technical approach, and the human motor principles that have been used to inspire and assess human-likeness. Results show that there is a strong focus on the generation of single-arm reaching movements and biomimetic-based methods. However, there has been poor attention to manipulation, obstacle-avoidance mechanisms, and dual-arm motion generation. For these reasons, human-like arm motion generation may not fully respect human behavioral and neurological key features and may result restricted to specific tasks of human-robot interaction. Limitations and challenges are discussed to provide meaningful directions for future investigations.FCT Project UID/MAT/00013/2013FCT–Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020.Multidisciplinary Digital Publishing Institute (MDPI)Universidade do MinhoGulletta, GianpaoloErlhagen, WolframBicho, Estela2020-122020-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/69736eng2218-658110.3390/robotics9040102https://www.mdpi.com/2218-6581/9/4/102info: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:RCAAP2024-05-11T05:03:52Zoai:repositorium.sdum.uminho.pt:1822/69736Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:06:46.541431Repositórios 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 |
Human-like arm motion generation: a review |
| title |
Human-like arm motion generation: a review |
| spellingShingle |
Human-like arm motion generation: a review Gulletta, Gianpaolo Human-like motion Humanoid robots Arm motion planning Literature review Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática Science & Technology Indústria, inovação e infraestruturas |
| title_short |
Human-like arm motion generation: a review |
| title_full |
Human-like arm motion generation: a review |
| title_fullStr |
Human-like arm motion generation: a review |
| title_full_unstemmed |
Human-like arm motion generation: a review |
| title_sort |
Human-like arm motion generation: a review |
| author |
Gulletta, Gianpaolo |
| author_facet |
Gulletta, Gianpaolo Erlhagen, Wolfram Bicho, Estela |
| author_role |
author |
| author2 |
Erlhagen, Wolfram Bicho, Estela |
| author2_role |
author author |
| dc.contributor.none.fl_str_mv |
Universidade do Minho |
| dc.contributor.author.fl_str_mv |
Gulletta, Gianpaolo Erlhagen, Wolfram Bicho, Estela |
| dc.subject.por.fl_str_mv |
Human-like motion Humanoid robots Arm motion planning Literature review Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática Science & Technology Indústria, inovação e infraestruturas |
| topic |
Human-like motion Humanoid robots Arm motion planning Literature review Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática Science & Technology Indústria, inovação e infraestruturas |
| description |
In the last decade, the objectives outlined by the needs of personal robotics have led to the rise of new biologically-inspired techniques for arm motion planning. This paper presents a literature review of the most recent research on the generation of human-like arm movements in humanoid and manipulation robotic systems. Search methods and inclusion criteria are described. The studies are analyzed taking into consideration the sources of publication, the experimental settings, the type of movements, the technical approach, and the human motor principles that have been used to inspire and assess human-likeness. Results show that there is a strong focus on the generation of single-arm reaching movements and biomimetic-based methods. However, there has been poor attention to manipulation, obstacle-avoidance mechanisms, and dual-arm motion generation. For these reasons, human-like arm motion generation may not fully respect human behavioral and neurological key features and may result restricted to specific tasks of human-robot interaction. Limitations and challenges are discussed to provide meaningful directions for future investigations. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020-12 2020-12-01T00:00:00Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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publishedVersion |
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http://hdl.handle.net/1822/69736 |
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http://hdl.handle.net/1822/69736 |
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eng |
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eng |
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2218-6581 10.3390/robotics9040102 https://www.mdpi.com/2218-6581/9/4/102 |
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openAccess |
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Multidisciplinary Digital Publishing Institute (MDPI) |
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Multidisciplinary Digital Publishing Institute (MDPI) |
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