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Navigation and inspection in confined environments, such as tunnels and pipes, pose significant challenges for existing robots due to limitations in maneuverability and adaptability to varying geometries. Vine robots, which are soft growing…

Robotics · Computer Science 2025-07-11 Yimeng Qin , Jared Grinberg , William Heap , Allison M. Okamura

Vine robots extend their tubular bodies by everting material from the tip, enabling navigation in complex environments with a minimalist soft body. Despite their promise for field applications, especially in the urban search and rescue…

Robotics · Computer Science 2026-01-12 Ciera McFarland , Antonio Alvarez , Sarah Taher , Nathaniel Hanson , Margaret McGuinness

Robot performance has advanced considerably both in and out of the factory, however in tightly constrained, unknown environments such as inside a jet engine or the human heart, current robots are less adept. In such cases where a borescope…

Robotics · Computer Science 2024-11-20 Mijaíl Jaén Mendoza , Nicholas D. Naclerio , Elliot W. Hawkes

Everting, soft growing vine robots benefit from reduced friction with their environment, which allows them to navigate challenging terrain. Vine robots can use air pouches attached to their sides for lateral steering. However, when all…

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…

Robotics · Computer Science 2023-06-05 Nathaniel Agharese , Allison M. Okamura

A new class of continuum robots has recently been explored, characterized by tip extension, significant length change, and directional control. Here, we call this class of robots "vine robots," due to their similar behavior to plants with…

Soft, vine-inspired growing robots that move by eversion are highly mobile in confined environments, but, when faced with gaps in the environment, they may collapse under their own weight while navigating a desired path. In this work, we…

Robotics · Computer Science 2025-10-30 Ciera McFarland , Margaret McGuinness

This paper focuses on how to make a growing Vine robot steer in different directions with a novel approach to real-time steering control by autonomously applying adhesive tape to induce a surface wrinkles. This enabling real-time…

Robotics · Computer Science 2025-05-05 Hanmo Liu , Kayleen Smith , Zimu Yang , Mark Yim

Soft, tip-extending vine robots are well suited for navigating tight, debris-filled environments, making them ideal for urban search and rescue. Sensing the full shape of a vine robot's body is helpful both for localizing information from…

Soft, tip-extending "vine" robots offer a unique mode of inspection and manipulation in highly constrained environments. For practicality, it is desirable that the distal end of the robot can be manipulated freely, while the body remains…

Robotics · Computer Science 2022-09-07 Sicheng Wang , Ruotong Zhang , David A. Haggerty , Nicholas D. Naclerio , Elliot W. Hawkes

Soft growing vine robots show great potential for navigation and decontamination tasks in the nuclear industry. This paper introduces a novel hybrid continuum-eversion robot designed to address certain challenges in relation to navigating…

Robotics · Computer Science 2024-08-28 Mohammed Al-Dubooni , Cuebong Wong , Kaspar Althoefer

Soft pneumatic actuators are used to steer soft growing "vine" robots while being flexible enough to undergo the tip eversion required for growth. In this study, we compared the performance of three types of pneumatic actuators in terms of…

The request for fast response and safe operation after natural and man-made disasters in urban environments has spurred the development of robotic systems designed to assist in search and rescue operations within complex rubble sites.…

Robotics · Computer Science 2024-09-23 Zheyu Zhou , Yaqing Wang , Elliot W. Hawkes , Chen Li

In this paper, we discuss a novel continuum robot design that enables the online tuning of the magnetic response at its tip. The proposed method allows for the change of both effective magnetic direction and intensity, introducing steering…

Robotics · Computer Science 2026-05-14 Alex Sayres , Giovanni Pittiglio

Aerial robotic arms aim to enable inspection and environment interaction in otherwise hard-to-reach areas from the air. However, many aerial manipulators feature bulky or heavy robot manipulators mounted to large, high-payload aerial…

Soft growing robots, commonly referred to as vine robots, have demonstrated remarkable ability to interact safely and robustly with unstructured and dynamic environments. It is therefore natural to exploit contact with the environment for…

Robotics · Computer Science 2026-02-10 Yitian Gao , Lucas Chen , Priyanka Bhovad , Sicheng Wang , Zachary Kingston , Laura H. Blumenschein

Soft, growing inflated beam robots, also known as everting vine robots, have previously been shown to navigate confined spaces with ease. Less is known about their ability to navigate three-dimensional open spaces where they have the…

Robotics · Computer Science 2023-07-04 Ciera McFarland , Margaret M. Coad

Tip-growing eversion robots are renowned for their ability to access remote spaces through narrow passages. However, achieving reliable navigation remains a significant challenge. Existing solutions often rely on artificial muscles…

The ability to have multiple magnetic robots operate independently in the same workspace would increase the clinical potential of these systems allowing collaborative operation. In this work, we investigate the feasibility of actuating two…

Robotics · Computer Science 2023-03-06 Joshua Davy , Tomas da Veiga , Giovanni Pittiglio , James H. Chandler , Pietro Valdastri

Rehabilitation of aging pipes requires accurate condition assessment and mapping far into the pipe interiors. Soft growing vine robot systems are particularly promising for navigating confined, sinuous paths such as in pipes, but are…

Robotics · Computer Science 2025-11-03 William E. Heap , Yimeng Qin , Kai Hammond , Anish Bayya , Haonon Kong , Allison M. Okamura
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