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Closed-loop underwater soft robotic foil shape control using flexible e-skin

Closed-loop underwater soft robotic foil shape control using flexible e-skin
Closed-loop underwater soft robotic foil shape control using flexible e-skin
The use of soft robotics for real-world underwater applications is limited, even more than in terrestrial applications, by the ability to accurately measure and control the deformation of the soft materials in real time without the need for feedback from an external sensor. Real-time underwater shape estimation would allow for accurate closed-loop control of soft propulsors, enabling high-performance swimming and manoeuvring. We propose and demonstrate a method for closed-loop underwater soft robotic foil control based on a flexible capacitive e-skin and machine learning which does not necessitate feedback from an external sensor. The underwater e-skin is applied to a highly flexible foil undergoing deformations from 2% to 9% of its camber by means of soft hydraulic actuators. Accurate set point regulation of the camber is successfully tracked during sinusoidal and triangle actuation routines with an amplitude of 5% peak-to-peak and 10-second period with a normalised RMS error of 0.11, and 2% peak-to-peak amplitude with a period of 5 seconds with a normalised RMS error of 0.03. The tail tip deflection can be measured across a 30 mm (0.15 chords) range. These results pave the way for using e-skin technology for underwater soft robotic closed-loop control applications.
cs.RO
arXiv
Micklem, Leo
88b31aa0-c8b3-43ed-919d-10137ef0172b
Dong, Huazhi
3924bd63-5ce5-4cff-a8af-35adee9c8a51
Giorgio-Serchi, Francesco
8571dc14-19c1-4ed1-8080-d380736a6ffa
Yang, Yunjie
ffd49833-3de2-456a-80ef-6fa255421e85
Weymouth, Gabriel D.
b0c85fda-dfed-44da-8cc4-9e0cc88e2ca0
Thornton, Blair
8293beb5-c083-47e3-b5f0-d9c3cee14be9
Micklem, Leo
88b31aa0-c8b3-43ed-919d-10137ef0172b
Dong, Huazhi
3924bd63-5ce5-4cff-a8af-35adee9c8a51
Giorgio-Serchi, Francesco
8571dc14-19c1-4ed1-8080-d380736a6ffa
Yang, Yunjie
ffd49833-3de2-456a-80ef-6fa255421e85
Weymouth, Gabriel D.
b0c85fda-dfed-44da-8cc4-9e0cc88e2ca0
Thornton, Blair
8293beb5-c083-47e3-b5f0-d9c3cee14be9

[Unknown type: UNSPECIFIED]

Record type: UNSPECIFIED

Abstract

The use of soft robotics for real-world underwater applications is limited, even more than in terrestrial applications, by the ability to accurately measure and control the deformation of the soft materials in real time without the need for feedback from an external sensor. Real-time underwater shape estimation would allow for accurate closed-loop control of soft propulsors, enabling high-performance swimming and manoeuvring. We propose and demonstrate a method for closed-loop underwater soft robotic foil control based on a flexible capacitive e-skin and machine learning which does not necessitate feedback from an external sensor. The underwater e-skin is applied to a highly flexible foil undergoing deformations from 2% to 9% of its camber by means of soft hydraulic actuators. Accurate set point regulation of the camber is successfully tracked during sinusoidal and triangle actuation routines with an amplitude of 5% peak-to-peak and 10-second period with a normalised RMS error of 0.11, and 2% peak-to-peak amplitude with a period of 5 seconds with a normalised RMS error of 0.03. The tail tip deflection can be measured across a 30 mm (0.15 chords) range. These results pave the way for using e-skin technology for underwater soft robotic closed-loop control applications.

Text
2408.01130v1 - Author's Original
Available under License Creative Commons Attribution.
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More information

Published date: 2 August 2024
Additional Information: 10 figures
Keywords: cs.RO

Identifiers

Local EPrints ID: 493147
URI: http://eprints.soton.ac.uk/id/eprint/493147
PURE UUID: 494f1749-8df0-4098-88ff-4307e1cdaa03
ORCID for Francesco Giorgio-Serchi: ORCID iD orcid.org/0000-0002-5090-9007
ORCID for Gabriel D. Weymouth: ORCID iD orcid.org/0000-0001-5080-5016

Catalogue record

Date deposited: 23 Aug 2024 16:55
Last modified: 24 Aug 2024 01:46

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Contributors

Author: Leo Micklem
Author: Huazhi Dong
Author: Francesco Giorgio-Serchi ORCID iD
Author: Yunjie Yang
Author: Blair Thornton

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