Comparison of strength profile representations using musculoskeletal models and their applications in robotics.

Sutjipto, S; Carmichael, MG; Paul, G

Comparison of strength profile representations using musculoskeletal models and their applications in robotics.

Sutjipto, S Carmichael, MG Paul, G

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Publisher:: Frontiers
Publication Type:: Journal Article
Citation:: Front Robot AI, 2023, 10, pp. 1265635
Issue Date:: 2023

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Field	Value	Language
dc.contributor.author	Sutjipto, S
dc.contributor.author	Carmichael, MG
dc.contributor.author	Paul, G https://orcid.org/0000-0002-3478-0020
dc.date.accessioned	2024-02-05T07:23:29Z
dc.date.available	2023-12-13
dc.date.available	2024-02-05T07:23:29Z
dc.date.issued	2023
dc.identifier.citation	Front Robot AI, 2023, 10, pp. 1265635
dc.identifier.issn	2296-9144
dc.identifier.issn	2296-9144
dc.identifier.uri	http://hdl.handle.net/10453/175306
dc.description.abstract	Musculoskeletal models provide an approach towards simulating the ability of the human body in a variety of human-robot applications. A promising use for musculoskeletal models is to model the physical capabilities of the human body, for example, estimating the strength at the hand. Several methods of modelling and representing human strength with musculoskeletal models have been used in ergonomic analysis, human-robot interaction and robotic assistance. However, it is currently unclear which methods best suit modelling and representing limb strength. This paper compares existing methods for calculating and representing the strength of the upper limb using musculoskeletal models. It then details the differences and relative advantages of the existing methods, enabling the discussion on the appropriateness of each method for particular applications.
dc.format	Electronic-eCollection
dc.language	eng
dc.publisher	Frontiers
dc.relation	http://purl.org/au-research/grants/arc/IC200100001
dc.relation	Centre for Inclusive Design
dc.relation	New South Wales GovernmentPO4549670
dc.relation	Department of Infrastructure, Transport, Regional Development and CommunicationsAVGI000031
dc.relation.ispartof	Front Robot AI
dc.relation.isbasedon	10.3389/frobt.2023.1265635
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0801 Artificial Intelligence and Image Processing, 0906 Electrical and Electronic Engineering
dc.subject.classification	40 Engineering
dc.subject.classification	46 Information and computing sciences
dc.title	Comparison of strength profile representations using musculoskeletal models and their applications in robotics.
dc.type	Journal Article
utslib.citation.volume	10
utslib.location.activity	Switzerland
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Strength - RI - Robotics Institute
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2024-02-05T07:23:18Z
pubs.publication-status	Published online
pubs.volume	10

Abstract:

Musculoskeletal models provide an approach towards simulating the ability of the human body in a variety of human-robot applications. A promising use for musculoskeletal models is to model the physical capabilities of the human body, for example, estimating the strength at the hand. Several methods of modelling and representing human strength with musculoskeletal models have been used in ergonomic analysis, human-robot interaction and robotic assistance. However, it is currently unclear which methods best suit modelling and representing limb strength. This paper compares existing methods for calculating and representing the strength of the upper limb using musculoskeletal models. It then details the differences and relative advantages of the existing methods, enabling the discussion on the appropriateness of each method for particular applications.

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http://hdl.handle.net/10453/175306