A punishment neural network-based acceleration-level joint drift-free scheme for solving constrained motion planning problem of redundant robotic manipulators.

Saved in:
Bibliographic Details
Title: A punishment neural network-based acceleration-level joint drift-free scheme for solving constrained motion planning problem of redundant robotic manipulators.
Authors: Zhang Z; South China University of Technology, Guangzhou, Guangdong, China., Gao X; South China University of Technology, Guangzhou, Guangdong, China. Electronic address: 345366892@qq.com., Guo J; South China University of Technology, Guangzhou, Guangdong, China.
Source: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2026 Jul; Vol. 199, pp. 108684. Date of Electronic Publication: 2026 Feb 04.
Publication Type: Journal Article
Journal Info: Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2782 (Electronic) Linking ISSN: 08936080 NLM ISO Abbreviation: Neural Netw Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41666486
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A punishment neural network-based acceleration-level joint drift-free scheme for solving constrained motion planning problem of redundant robotic manipulators.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Zhang+Z%22">Zhang Z</searchLink>; South China University of Technology, Guangzhou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Gao+X%22">Gao X</searchLink>; South China University of Technology, Guangzhou, Guangdong, China. Electronic address: 345366892@qq.com.<br /><searchLink fieldCode="AU" term="%22Guo+J%22">Guo J</searchLink>; South China University of Technology, Guangzhou, Guangdong, China.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%228805018%22">Neural networks : the official journal of the International Neural Network Society</searchLink> [Neural Netw] 2026 Jul; Vol. 199, pp. 108684. <i>Date of Electronic Publication: </i>2026 Feb 04.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Pergamon+Press%22">Pergamon Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8805018 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-2782 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208936080%22">08936080 </searchLink><i>NLM ISO Abbreviation: </i>Neural Netw <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41666486
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.neunet.2026.108684
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 108684
    Titles:
      – TitleFull: A punishment neural network-based acceleration-level joint drift-free scheme for solving constrained motion planning problem of redundant robotic manipulators.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Zhang Z
      – PersonEntity:
          Name:
            NameFull: Gao X
      – PersonEntity:
          Name:
            NameFull: Guo J
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: 2026 Jul
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1879-2782
          Numbering:
            – Type: volume
              Value: 199
          Titles:
            – TitleFull: Neural networks : the official journal of the International Neural Network Society
              Type: main
ResultId 1