Nair, V.P., Khalid, M.A., Ozdemir, B. et al. (8 more authors) (2026) A Soft Everting Pneumatic Deployment Cap for Secure Payload Delivery in Robotic Endoscopy. In: 2026 IEEE 9th International Conference on Soft Robotics (RoboSoft). 2026 IEEE 9th International Conference on Soft Robotics (RoboSoft), 07-12 Apr 2026, Kanazawa, Japan. . IEEE, pp. 666-671. ISBN: 979-8-3315-8216-6. ISSN: 2769-4526. EISSN: 2769-4534.
Abstract
Payload delivery in endoscopic and robotic interventions has the potential to extend diagnostic and therapeutic capabilities through selective deployment of drugs, micro-robots or other medical devices. However, reliably delivering small and delicate objects through long tool channels associated with flexible instruments or continuum robot platforms remains challenging. Approaches that retain payloads at the tool tip and enable selective deployment represent a promising solution. Previous systems following this strategy have commonly relied on complex magnetically triggered designs or material changes to deliver cargo on demand. These can be slow to trigger or require specific payload designs, limiting versatility. In this work, we propose a fully soft pneumatically driven deployment cap based on a hybrid combination of an eversion skin and an elastomer body. We introduce the concept, develop a model capturing the deployment profile, and present a prototype design of 13.5 mm diameter, 26 mm length, and 2.5 g. We demonstrate repeatable deployment of various objects within the scale range of 2−5 mm, and show sequential delivery of two objects in a simulated endoscopic task in under 45 s.
Metadata
| Item Type: | Proceedings Paper |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | This is an author produced version of a proceedings paper published in 2026 IEEE 9th International Conference on Soft Robotics (RoboSoft), made available via the University of Leeds Research Outputs Policy under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Design methodology, Modeling, Skin, Neck, Printing, Distance measurement, Equations, Materials, Soft robotics, Force |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) |
| Funding Information: | Funder Grant number The Leverhulme Trust LTRF-2425-21-154 |
| Date Deposited: | 29 May 2026 11:57 |
| Last Modified: | 29 May 2026 13:49 |
| Published Version: | https://ieeexplore.ieee.org/document/11522905 |
| Status: | Published |
| Publisher: | IEEE |
| Identification Number: | 10.1109/RoboSoft67810.2026.11522905 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:241426 |

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