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The identification of joint parameters for modular robots using fuzzy theory and a genetic algorithm
Li Y.; Liu X.; Peng Z.; Liu Y.
2002
Source PublicationRobotica
ISSN2635747
Volume20Issue:5Pages:509
Abstract

This paper discusses a technique for identifying the joint parameters of a modular robot in order to study the dynamic characteristics of the whole structure and to realise dynamic control. A method for identifying the joint parameters of the structure applying fuzzy logic combined with a genetic algorithm has been studied using a 9-DOF modular redundant robot. A Genetic Algorithm was used in the fuzzy optimisation, which helped to avoid converging to locally optimal solutions and made the results identified much more reasonable. The joint parameters of a 9-DOF modular redundant robot have been identified.

KeywordModal Analysis Modular Robots Parameter Identification Vibration Control
DOI10.1017/S0263574702004277
URLView the original
Language英語English
WOS IDWOS:000178735300004
The Source to ArticleScopus
Scopus ID2-s2.0-0036709037
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Citation statistics
Document TypeJournal article
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Li Y.,Liu X.,Peng Z.,et al. The identification of joint parameters for modular robots using fuzzy theory and a genetic algorithm[J]. Robotica, 2002, 20(5), 509.
APA Li Y.., Liu X.., Peng Z.., & Liu Y. (2002). The identification of joint parameters for modular robots using fuzzy theory and a genetic algorithm. Robotica, 20(5), 509.
MLA Li Y.,et al."The identification of joint parameters for modular robots using fuzzy theory and a genetic algorithm".Robotica 20.5(2002):509.
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