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Growing manipulators through feeding material outside-in: inversion robots

Abstract:

Soft eversion robots have demonstrated significant advantages in navigating within confined spaces with minimal friction, making them promising candidates for various intraluminal applications in medical, industrial, and exploratory domains. While these type of growing robots enable frictionless movement within hollow structures, no existing soft robotic actuation mechanism can grow along the outer surface of an environment without generating friction. A robot with these capabilities could open new possibilities, such as endoscopic vein harvesting for coronary artery bypass graft surgery. This paper introduces a novel growing robotic manipulator based on an outside-in material feeding mechanism - the inversion robot. Unlike conventional eversion robots, which expand by feeding material from the inside out, the inversion robot draws material from the outside to the inside, encapsulating its external environment within an inner sleeve to achieve frictionless movement. We present the design, implementation, and experimental validation of this inversion robot, investigating its growth behavior under varying pressure values and with different diameters, its ability to navigate along defined trajectories, and with a tools mounted to its tip. This inversion robot could enable vein dissection while preserving the surrounding fat layer, making it a promising innovation for minimally invasive vascular surgery and beyond.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/iros60139.2025.11247720

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0002-1212-0849


More from this funder
Funder identifier:
https://ror.org/00c489v88


Publisher:
IEEE
Host title:
2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Pages:
3272-3278
Publication date:
2025-11-27
Acceptance date:
2025-10-19
Event title:
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)
Event location:
Hangzhou, China
Event website:
https://www.iros25.org/
Event start date:
2025-10-19
Event end date:
2025-10-25
DOI:
EISSN:
2153-0866
ISSN:
2153-0858
EISBN:
9798331543938
ISBN:
9798331543945


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