Evolutionary Inverse Material Identification: Bespoke Characterization of Soft Materials Using a Metaheuristic Algorithm

Di Lecce, M, Onaizah, O, Lloyd, P et al. (2 more authors) (2022) Evolutionary Inverse Material Identification: Bespoke Characterization of Soft Materials Using a Metaheuristic Algorithm. Frontiers in Robotics and AI, 8. 790571. ISSN 2296-9144

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2022 Di Lecce, Onaizah, Lloyd, Chandler and Valdastri. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Keywords: soft robots material and design, magnetic actuation, hyperelastic models, material characterization and modeling, evolutionary algorithm, inverse optimization, CMA-ES optimization
Dates:
  • Accepted: 16 December 2021
  • Published (online): 14 January 2022
  • Published: 14 January 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Funding Information:
FunderGrant number
EU - European Union818045
EPSRC (Engineering and Physical Sciences Research Council)EP/R045291/1
EPSRC (Engineering and Physical Sciences Research Council)EP/V009818/1
Depositing User: Symplectic Publications
Date Deposited: 18 Jan 2022 10:41
Last Modified: 18 Jan 2022 10:41
Status: Published
Publisher: Frontiers Media
Identification Number: https://doi.org/10.3389/frobt.2021.790571

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