Soft Cap for Eversion Robots
Cem Suulker, Sophie Skach, Danyaal Kaleel, Taqi Abrar, Zain Murtaza,, Dilara Suulker, and Kaspar Althoefer

TL;DR
This paper introduces a soft, fabric-based cap for eversion robots that enhances payload retention and navigation flexibility, addressing limitations of rigid tip designs and improving robot performance in remote space access.
Contribution
A novel soft, fabric cylindrical cap design for eversion robots that improves payload stability and navigability without restricting flexibility.
Findings
The soft cap effectively maintains its position during eversion.
It successfully transports payloads like cameras over long distances.
The design is robust across different sizes and materials.
Abstract
Growing robots based on the eversion principle are known for their ability to extend rapidly, from within, along their longitudinal axis, and, in doing so, reach deep into hitherto inaccessible, remote spaces. Despite many advantages, eversion robots also present significant challenges, one of which is maintaining sensory payload at the tip without restricting the eversion process. A variety of tip mechanisms has been proposed by the robotics community, among them rounded caps of relatively complex construction that are not always compatible with functional hardware, such as sensors or navigation pouches, integrated with the main eversion structure. Moreover, many tip designs incorporate rigid materials, reducing the robot's flexibility and consequent ability to navigate through narrow openings. Here, we address these shortcomings and propose a design to overcome them: a soft, entirely…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsModular Robots and Swarm Intelligence · Soft Robotics and Applications · Robotic Locomotion and Control
