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Model-based pose control of inflatable eversion robot with variable stiffness

Model-based pose control of inflatable eversion robot with variable stiffness
Model-based pose control of inflatable eversion robot with variable stiffness
Plant-inspired inflatable eversion robots with their tip growing behaviour have recently emerged. Because they extend from the tip, eversion robots are particularly suitable for applications that require reaching into remote places through narrow openings. Besides, they can vary their structural stiffness. Despite these essential properties which make the eversion robot a promising candidate for applications involving cluttered environments and tight spaces, controlling their motion especially laterally has not been investigated in depth. In this letter, we present a new approach based on model-based kinematics to control the eversion robot's tip position and orientation. Our control approach is based on Euler-Bernoulli beam theory which takes into account the effect of the internal inflation pressure to model each robot bending segment for various conditions of structural stiffness. We determined the parameters of our bending model by performing a least-square technique based on the pressure-bending data acquired from an experimental study. The model is then used to develop a pose controller for the tip of our eversion robot. Experimental results show that the proposed control strategy is capable of guiding the tip of the eversion robot to reach a desired position and orientation whilst varying its structural stiffness.
2377-3766
3398-3405
Ataka, Ahmad
5deaad33-73cc-4dbf-8803-d773cf3841d0
Abrar, Taqi
f49fa83b-0882-45a8-bff6-db53709e5887
Putzu, Fabrizio
d87164eb-a15c-4a76-b259-f34e00d7c54c
Godaba, Hareesh
787c1482-6a29-43ad-b49e-a6a2b7175f0c
Althoefer, Kaspar
031c800b-bf48-4996-8c17-29f7408898c6
Ataka, Ahmad
5deaad33-73cc-4dbf-8803-d773cf3841d0
Abrar, Taqi
f49fa83b-0882-45a8-bff6-db53709e5887
Putzu, Fabrizio
d87164eb-a15c-4a76-b259-f34e00d7c54c
Godaba, Hareesh
787c1482-6a29-43ad-b49e-a6a2b7175f0c
Althoefer, Kaspar
031c800b-bf48-4996-8c17-29f7408898c6

Ataka, Ahmad, Abrar, Taqi, Putzu, Fabrizio, Godaba, Hareesh and Althoefer, Kaspar (2020) Model-based pose control of inflatable eversion robot with variable stiffness. IEEE Robotics and Automation Letters, 5 (2), 3398-3405. (doi:10.1109/LRA.2020.2976326).

Record type: Article

Abstract

Plant-inspired inflatable eversion robots with their tip growing behaviour have recently emerged. Because they extend from the tip, eversion robots are particularly suitable for applications that require reaching into remote places through narrow openings. Besides, they can vary their structural stiffness. Despite these essential properties which make the eversion robot a promising candidate for applications involving cluttered environments and tight spaces, controlling their motion especially laterally has not been investigated in depth. In this letter, we present a new approach based on model-based kinematics to control the eversion robot's tip position and orientation. Our control approach is based on Euler-Bernoulli beam theory which takes into account the effect of the internal inflation pressure to model each robot bending segment for various conditions of structural stiffness. We determined the parameters of our bending model by performing a least-square technique based on the pressure-bending data acquired from an experimental study. The model is then used to develop a pose controller for the tip of our eversion robot. Experimental results show that the proposed control strategy is capable of guiding the tip of the eversion robot to reach a desired position and orientation whilst varying its structural stiffness.

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More information

Accepted/In Press date: 26 January 2020
Published date: 26 February 2020

Identifiers

Local EPrints ID: 499144
URI: http://eprints.soton.ac.uk/id/eprint/499144
ISSN: 2377-3766
PURE UUID: f5617e07-fd35-4042-947d-e5ccb0213cd2
ORCID for Hareesh Godaba: ORCID iD orcid.org/0000-0001-6600-8513

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Date deposited: 11 Mar 2025 17:30
Last modified: 12 Mar 2025 03:14

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Contributors

Author: Ahmad Ataka
Author: Taqi Abrar
Author: Fabrizio Putzu
Author: Hareesh Godaba ORCID iD
Author: Kaspar Althoefer

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