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

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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
Description
ISSN:1879-2782
DOI:10.1016/j.neunet.2026.108684