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Configuration and Fabrication of Preformed Vine Robots

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arxiv 2306.01166 v1 pith:BVF2LDG3 submitted 2023-06-01 cs.RO

classification cs.RO
keywords robotsvinefabricationpreformedbodygrowthmethoddeployment
verification ladder T0 review T1 audit T2 compute T3 formal
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Vine robots are a class of soft continuum robots that grow via tip eversion, allowing them to move their tip without relying on reaction forces from the environment. Constructed from compliant materials such as fabric and thin, flexible plastic, these robots are able to grow many times their original length with the use of fluidic pressure. They can be mechanically programmed/preformed to follow a desired path during growth by changing the structure of their body prior to deployment. We present a model for fabricating preformed vine robots with discrete bends. We apply this model across combinations of three fabrication methods and two materials. One fabrication method, taping folds into the robot body, is from the literature. The other two methods, welding folds and connecting fasteners embedded in the robot body, are novel. Measurements show the ability of the resulting vine robots to follow a desired path and show that fabrication method has a significant impact. Results include bend angles with as little as 0.12 degrees of error, and segment lengths with as low as 0.36 mm of error. The required growth pressure and average growth speed of these preformed vine robots ranged from 11.5 to 23.7kPA and 3.75 to 10 cm/s, respectively. These results validate the use of preformed vine robots for deployment along known paths, and serve as a guide for choosing a fabrication method and material combination based on the specific needs of the task.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Linking Exteroception and Proprioception through Improved Contact Modeling for Soft Growing Robots

    cs.RO 2025-07 unverdicted novelty 5.0 of 10

    Soft growing robots map unknown 2D environments by characterizing collision deformations, building a geometry-based simulator, and using Monte Carlo sampling to select optimal deployments that approach ideal actions.

  2. Soft Eversion Robots for Colonoscopy: Challenges, Open Problems, and Emerging Solutions

    cs.RO 2026-07 accept novelty 4.0 of 10

    No current eversion robot meets all colonoscopy clinical constraints simultaneously; the core unsolved trade-off is combining tip steering and payload delivery while keeping the sleeve soft and low-friction.

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