2020
DOI: 10.1109/lra.2020.2985620
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A Geometric Variable-Strain Approach for Static Modeling of Soft Manipulators With Tendon and Fluidic Actuation

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Cited by 79 publications
(75 citation statements)
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References 31 publications
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“…In [9], [10], a novel variable-strain approach has been presented to model soft manipulators driven by tendons and pneumatic chambers. This section aims to apply this technique to CTRs to obtain a minimum set of closed-form equations describing the system equilibrium.…”
Section: Variable-strain Ctr Modelmentioning
confidence: 99%
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“…In [9], [10], a novel variable-strain approach has been presented to model soft manipulators driven by tendons and pneumatic chambers. This section aims to apply this technique to CTRs to obtain a minimum set of closed-form equations describing the system equilibrium.…”
Section: Variable-strain Ctr Modelmentioning
confidence: 99%
“…On the other hand, a general soft robot is composed of flexible and rigid elements arranged in a parallel or serial fashion and capable of locomoting in the environment. A novel coordinate system has been proposed to model these kinds of systems, which discretizes the continuous Cosserat model of the flexible components onto a finite set of strain basis functions [9], [10]. This Piecewise Variable-strain (PVS) approach is a generalization of traditional robotics' geometric model [11] to the case of highly flexible or soft robots [12].…”
Section: Introductionmentioning
confidence: 99%
“…In [9], [10], a novel variable-strain approach has been presented to model soft manipulators driven by tendons and pneumatic chambers. This section aims to apply this technique to CTRs to obtain a minimum set of closed-form equations describing the system equilibrium.…”
Section: Variable-strain Ctr Modelmentioning
confidence: 99%
“…Equation (26) can be solved numerically for the unknowns p 1 and p θ2 that appear in F ij , ξ 1 , and g θ2 through equations (19), (20), (14), and (9). Note that the integration of (9) becomes very simple in this case.…”
Section: A Single Overlapping Sectionsmentioning
confidence: 99%
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