Forbes, F. orcid.org/0009-0000-2128-475X, Smith, A. and Damian, D.D. orcid.org/0000-0002-0595-0182 (2022) Characterization of an inflatable soft actuator and tissue interaction for in vitro mechanical stimulation of tissue. In: Pacheco-Gutierrez, S., Cryer, A., Caliskanelli, I., Tugal, H. and Skilton, R., (eds.) Towards Autonomous Robotic Systems: 23rd Annual Conference, TAROS 2022, Culham, UK, September 7–9, 2022, Proceedings. 23rd Annual Conference Towards Autonomous Robotic Systems (TAROS 2022), 07-09 Sep 2022, Culham, UK. Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence, vol. LNCS 13546. Springer International Publishing, pp. 105-113. ISBN: 9783031159077. ISSN: 0302-9743. EISSN: 1611-3349.
Abstract
Technology to improve tissue development is constantly being improved and refined. Soft robots have been utilized in medical settings due to their compliant nature, reducing the stiffness gradient at tissue-device interfaces. In this paper, we present a pneumatically actuated soft stimulating balloon capable of applying up to 70% strain to a phantom tissue construct at a pressure of 0.3 bar. Ecoflex<sup>TM</sup>0050 is used as a biocompatible material for the membrane, and the interaction between the two was investigated by varying the scaffold stiffness and initial tension. Data from video tracking was used to compute the tensile strain applied to the scaffold. We present here, the first steps of characterizing the device for in vitro implementation and further integration into a custom bioreactor.
Metadata
| Item Type: | Proceedings Paper |
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| Copyright, Publisher and Additional Information: | © 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG. This is an author-produced version of a conference paper subsequently published in Towards Autonomous Robotic Systems: 23rd Annual Conference, TAROS 2022, Culham, UK, September 7–9, 2022, Proceedings. Uploaded in accordance with the publisher's self-archiving policy. |
| Keywords: | Tissue engineering; Soft robotics; Mechanobiology |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > School of Electrical and Electronic Engineering The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
| Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/S021035/1 |
| Date Deposited: | 04 Sep 2026 08:21 |
| Last Modified: | 04 Sep 2026 18:15 |
| Status: | Published |
| Publisher: | Springer International Publishing |
| Series Name: | Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence |
| Refereed: | Yes |
| Identification Number: | 10.1007/978-3-031-15908-4_9 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:244902 |

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