Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117675
DC FieldValueLanguage
dc.contributorDepartment of Mechanical Engineeringen_US
dc.creatorLi, Hen_US
dc.creatorWang, Ben_US
dc.creatorTian, Cen_US
dc.creatorZhang, Den_US
dc.date.accessioned2026-02-26T03:57:47Z-
dc.date.available2026-02-26T03:57:47Z-
dc.identifier.issn0094-114Xen_US
dc.identifier.urihttp://hdl.handle.net/10397/117675-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.subjectBricarden_US
dc.subjectContracted graphsen_US
dc.subjectDexterous handen_US
dc.subjectGeneralized parallel mechanismsen_US
dc.subjectReconfigurationen_US
dc.titleDesign and analysis of a Brucard-inspired dexterous hand based on generalized parallel mechanismsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume219en_US
dc.identifier.doi10.1016/j.mechmachtheory.2025.106340en_US
dcterms.abstractThis paper proposes a novel generalized parallel dexterous hand with the aim of enhancing dexterity and stability. First, by using topological synthesis and number synthesis methods, an analysis is conducted on the degrees of freedom (DOF), number of loops, and link combinations of the topological structures of the dexterous hand. This analysis helps to identify effective non-isomorphic Contracted Graphs (CGs). Then, the configuration of a multi-mode deployable dexterous hand is designed based on the threefold-symmetric Bricard mechanism. A reconfigurable base is incorporated into this design to enhance the adaptability of the dexterous hand. Additionally, Lie group theory is employed to analyze the motion modes of the dexterous hand. Through simulation analysis, the grasping and motion performance under different motion modes are evaluated. Moreover, the forward and inverse kinematics of the dexterous hand are analyzed. Coordinate transformation methods are used to reduce the computational complexity. Finally, the workspace and motion force transmission performance of the dexterous hand are evaluated through simulation analysis.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationMechanism and machine theory, Mar. 2026, v. 219, 106340en_US
dcterms.isPartOfMechanism and machine theoryen_US
dcterms.issued2026-03-
dc.identifier.scopus2-s2.0-105027049560-
dc.identifier.artn106340en_US
dc.description.validate202602 bchyen_US
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG001028/2026-02-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis work is founded by the National Nature Science Foundation of China (grants 52305012 ), and the Research Institute for Artificial Intelligence of Things (RIAIoT), Research Institute for Intelligent Wearable Systems (RI-IWEAR), Research Institute for Advanced Manufacturing (RIAM), and Research Centre of Textiles for Future Fashion (RCTFF) at the Hong Kong Polytechnic University.en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2028-03-31en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Open Access Information
Status embargoed access
Embargo End Date 2028-03-31
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.