External Steering of Vine Robots via Magnetic Actuation

This article explores the concept of external magnetic control for vine robots to enable their high curvature steering and navigation for use in endoluminal applications. Vine robots, inspired by natural growth and locomotion strategies, present unique shape adaptation capabilities that allow passive deformation around obstacles. However, without additional steering mechanisms, they lack the ability to actively select the desired direction of growth. The principles of magnetically steered growing robots are discussed, and experimental results showcase the effectiveness of the proposed magnetic actuation approach. We present a 25-mm-diameter vine robot with an integrated magnetic tip capsule, including 6 degrees of freedom (DOF) localization system and camera, and demonstrate a minimum bending radius of 3.85 cm with an internal pressure of 30 kPa. Furthermore, we evaluate the robot's ability to form tight curvature through complex navigation tasks, with magnetic actuation allowing for extended free-space navigation without buckling. The suspension of the magnetic tip was also validated using the 6 DOF localization system to ensure that the shear-free nature of vine robots was preserved. Additionally, by exploiting the magnetic wrench at the tip, we showcase preliminary results of vine retraction. The findings contribute to the development of controllable vine robots for endoluminal applications, providing high tip force and shear-free navigation.

Authors

Institutions

Publication Details

Journal
Soft Robotics
Published
2024-09-17
DOI
https://doi.org/10.1089/soro.2023.0182
Citations
11
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
2.03

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

External Steering of Vine Robots via Magnetic Actuation

Joshua Davy, James H. Chandler, Jee-Hwan Ryu, Pietro Valdastri et al.
11 citations
Soft Robotics
Soft Robotics and Applications
2.03
article

External Steering of Vine Robots via Magnetic Actuation

Joshua Davy, James H. Chandler, Jee-Hwan Ryu, Pietro Valdastri, Nam Gyun Kim, Nikita J. Greenidge, Shinwoo Park
article en
11 citations

Abstract

This article explores the concept of external magnetic control for vine robots to enable their high curvature steering and navigation for use in endoluminal applications. Vine robots, inspired by natural growth and locomotion strategies, present unique shape adaptation capabilities that allow passive deformation around obstacles. However, without additional steering mechanisms, they lack the ability to actively select the desired direction of growth. The principles of magnetically steered growing robots are discussed, and experimental results showcase the effectiveness of the proposed magnetic actuation approach. We present a 25-mm-diameter vine robot with an integrated magnetic tip capsule, including 6 degrees of freedom (DOF) localization system and camera, and demonstrate a minimum bending radius of 3.85 cm with an internal pressure of 30 kPa. Furthermore, we evaluate the robot's ability to form tight curvature through complex navigation tasks, with magnetic actuation allowing for extended free-space navigation without buckling. The suspension of the magnetic tip was also validated using the 6 DOF localization system to ensure that the shear-free nature of vine robots was preserved. Additionally, by exploiting the magnetic wrench at the tip, we showcase preliminary results of vine retraction. The findings contribute to the development of controllable vine robots for endoluminal applications, providing high tip force and shear-free navigation.

Soft RoboticsVol. 12(2)
University of Leeds (GB), Korea Advanced Institute of Science and Technology (KR), Korea Automotive Technology Institute (KR)
National Institute for Health and Care Research, European Commission, Korea Health Industry Development Institute, National Institutes of Health, Engineering and Physical Sciences Research Council, Leeds Biomedical Research Centre
Affordable and clean energy
Openalex Percentile: Top 14%
Soft Robotics and Applications
2.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.