Rolling of stimuli-bent cylindrical robots using contact finite element simulations

Shaobo He, Hao Yu, M. B.N. Kouwenhoven, Paolo Paoletti, Marjolein Dijkstra, Chen Xuan*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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 languageEnglish
Pages (from-to)3480-3491
JournalSoft Matter
Volume21
Issue number18
Early online date11 Mar 2025
DOIs
Publication statusPublished - 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.

FundersFunder number
National Natural Science Foundation of China12211530416, 12002287
National Natural Science Foundation of ChinaERC-2019-ADG 884902 SoftML
European Research Council (ERC) under the European UnionBK20200248
Jiangsu Science and Technology Programme20KJB130001
Jiangsu University Natural Science Research ProgrammeRDF-22-01-011
Key Program Special Fund KSF-E-53 of XJTLU
XJTLU

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