Abstract
Curved cylinders, if rigid, cannot roll on a surface like straight cylinders, but soft cylinders bent by specific stimuli can! Studying the autonomous locomotion of these soft robots and their interactions with the environment using finite element analysis is challenging due to the complex multiphysics of stimuli-responsive soft materials and nonlinear contact mechanics. In this pioneering work, we simulate the rolling of stimuli-bent cylinders on a surface using contact finite elements and introduce a simple yet effective pseudo-thermal field method. Our approach successfully reproduces several modes of autonomous locomotion observed experimentally, including phototropic locomotion, phototropic climbing on a slanted surface, steering under partial illumination, and backward rolling under alternating heat-light stimuli. Parametric analysis demonstrates strong agreement between the experiments and our numerical results, validating the effectiveness of our approach. This study reveals the intriguing and highly nonintuitive dynamics of photo- or thermally bent cylindrical soft robots, and serves as a paradigm for modelling and simulating such rolling robots.
Original language | English |
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Pages (from-to) | 3480-3491 |
Journal | Soft Matter |
Volume | 21 |
Issue number | 18 |
Early online date | 11 Mar 2025 |
DOIs | |
Publication status | Published - 2025 |
Bibliographical note
Publisher Copyright:© 2025 The Royal Society of Chemistry.
Funding
This work is supported by the National Natural Science Foundation of China (Grant No. 12211530416 and 12002287); European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant agreement no. ERC-2019-ADG 884902 SoftML); Jiangsu Science and Technology Programme (Grant No. BK20200248); Jiangsu University Natural Science Research Programme (Grant No. 20KJB130001); Key Program Special Fund KSF-E-53 of XJTLU; Research Development Fund RDF-22-01-011 of XJTLU. For the purpose of open access, the authors have applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising.
Funders | Funder number |
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National Natural Science Foundation of China | 12211530416, 12002287 |
National Natural Science Foundation of China | ERC-2019-ADG 884902 SoftML |
European Research Council (ERC) under the European Union | BK20200248 |
Jiangsu Science and Technology Programme | 20KJB130001 |
Jiangsu University Natural Science Research Programme | RDF-22-01-011 |
Key Program Special Fund KSF-E-53 of XJTLU | |
XJTLU |