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  4. Mechanics of continuum manipulators, a comparative study of five methods with experiments
 
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Mechanics of continuum manipulators, a comparative study of five methods with experiments
File(s)
paper_69.pdf (1.25 MB)
Accepted version
Author(s)
Sadati, SM
Naghibi, SE
Shiva, A
Walker, ID
Althoefer, K
more
Type
Conference Paper
Abstract
Investigations on control and optimization of continuum manipulators have resulted in a number of kinematic and dynamic modeling approaches each having their own advantages and limitations in various applications. In this paper, a comparative study of five main methods in the literature for kinematic, static and dynamic modeling of continuum manipulators is presented in a unified mathematical framework. The five widely used methods of Lumped system dynamic model, Constant curvature, two-step modified constant curvature, variable curvature Cosserat rod and beam theory approach, and series solution identification are re-viewed here with derivation details in order to clarify their methodological differences. A comparison between computer simulations and experimental results using a STIFF-FLOP continuum manipulator is presented to study the advantages of each modeling method.
Date Issued
2017-07-20
Date Acceptance
2017-07-19
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017, 10454, pp.686-702
URI
http://hdl.handle.net/10044/1/53519
DOI
https://www.dx.doi.org/10.1007/978-3-319-64107-2_56
ISBN
9783319641065
ISSN
0302-9743
Publisher
Springer
Start Page
686
End Page
702
Journal / Book Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
10454
Copyright Statement
© Springer International Publishing AG 2017. The final publication is available at Springer via https://link.springer.com/chapter/10.1007%2F978-3-319-64107-2_56
Sponsor
Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (EPSRC)
Grant Number
EP/R511547/1
EP/N03211X/2
Source
TAROS 2017
Subjects
08 Information And Computing Sciences
Artificial Intelligence & Image Processing
Publication Status
Published
Start Date
2017-07-19
Finish Date
2017-07-21
Coverage Spatial
Guildford, UK
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