Reduced-order modeling of soft robots.
We present a general strategy for the modeling and simulation-based control of soft robots. Although the presented methodology is completely general, we restrict ourselves to the analysis of a model robot made of hyperelastic materials and actuated by cables or tendons. To comply with the stringent...
Main Authors: | Jean Chenevier, David González, J Vicente Aguado, Francisco Chinesta, Elías Cueto |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2018-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC5823373?pdf=render |
Similar Items
-
A Data-Driven Learning Method for Constitutive Modeling: Application to Vascular Hyperelastic Soft Tissues
by: David González, et al.
Published: (2020-05-01) -
Learning Corrections for Hyperelastic Models From Data
by: David González, et al.
Published: (2019-02-01) -
Harmonic-Modal Hybrid Reduced Order Model for the Efficient Integration of Non-Linear Soil Dynamics
by: Claudia Germoso, et al.
Published: (2020-09-01) -
First-Order Dynamic Modeling and Control of Soft Robots
by: Thomas George Thuruthel, et al.
Published: (2020-07-01) -
Learning data-driven reduced elastic and inelastic models of spot-welded patches
by: Reille Agathe, et al.
Published: (2021-01-01)