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RUBIC: An Untethered Soft Robot With Discrete Path Following
Soft robots have the potential to diminish the need for humans to venture into unsuitable environments or work in extreme conditions. While their soft nature gives them the advantage of being adaptable to changing environments, their control can be challenging because of the compliance that makes th...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805893/ https://www.ncbi.nlm.nih.gov/pubmed/33501067 http://dx.doi.org/10.3389/frobt.2019.00052 |
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author | Chen, Hsing-Yu Diteesawat, Richard Suphapol Haynes, Alice Partridge, Alixander James Simons, Melanie Florine Werner, Enrico Garrad, Martin Rossiter, Jonathan Conn, Andrew T. |
author_facet | Chen, Hsing-Yu Diteesawat, Richard Suphapol Haynes, Alice Partridge, Alixander James Simons, Melanie Florine Werner, Enrico Garrad, Martin Rossiter, Jonathan Conn, Andrew T. |
author_sort | Chen, Hsing-Yu |
collection | PubMed |
description | Soft robots have the potential to diminish the need for humans to venture into unsuitable environments or work in extreme conditions. While their soft nature gives them the advantage of being adaptable to changing environments, their control can be challenging because of the compliance that makes them effective. In this paper we present RUBIC: the Rolling, Untethered, Ballooning, Intelligent Cube, that overcomes some of the difficulties of 2D control by constraining motion to a discretised Cartesian space. RUBIC's method of locomotion is by rolling from one face of the cube to another, in any one of four directions. This motion causes it to move within a 2D grid structure, the dimensions of which are defined by the cube's characteristic length. When in its resting position RUBIC is inherently stable and forms a safe platform for tasks including taking measurements and soil samples, for localization and ad hoc network infrastructure, and as the foundation for larger robots and structures. We present the design of RUBIC's body, the four pneumatic ballooning actuators per face that generate its unique gait, and the control systems for locomotion and obstacle climbing. We consider constraints imposed by the design and fabrication methods including physical dimension and weight, material properties and control fidelity. An alternative locomotion scheme is proposed to improve the speed and linearity which also increases the distance traveled per roll. RUBIC travels with a mean locomotion accuracy of 4.58° deviation and successfully traverses steps up to 35% of its own height. The discretisation of a soft robotics workspace, as demonstrated by RUBIC, has advantages for safe and predictable locomotion and has applications in both structured and hazardous environments. |
format | Online Article Text |
id | pubmed-7805893 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78058932021-01-25 RUBIC: An Untethered Soft Robot With Discrete Path Following Chen, Hsing-Yu Diteesawat, Richard Suphapol Haynes, Alice Partridge, Alixander James Simons, Melanie Florine Werner, Enrico Garrad, Martin Rossiter, Jonathan Conn, Andrew T. Front Robot AI Robotics and AI Soft robots have the potential to diminish the need for humans to venture into unsuitable environments or work in extreme conditions. While their soft nature gives them the advantage of being adaptable to changing environments, their control can be challenging because of the compliance that makes them effective. In this paper we present RUBIC: the Rolling, Untethered, Ballooning, Intelligent Cube, that overcomes some of the difficulties of 2D control by constraining motion to a discretised Cartesian space. RUBIC's method of locomotion is by rolling from one face of the cube to another, in any one of four directions. This motion causes it to move within a 2D grid structure, the dimensions of which are defined by the cube's characteristic length. When in its resting position RUBIC is inherently stable and forms a safe platform for tasks including taking measurements and soil samples, for localization and ad hoc network infrastructure, and as the foundation for larger robots and structures. We present the design of RUBIC's body, the four pneumatic ballooning actuators per face that generate its unique gait, and the control systems for locomotion and obstacle climbing. We consider constraints imposed by the design and fabrication methods including physical dimension and weight, material properties and control fidelity. An alternative locomotion scheme is proposed to improve the speed and linearity which also increases the distance traveled per roll. RUBIC travels with a mean locomotion accuracy of 4.58° deviation and successfully traverses steps up to 35% of its own height. The discretisation of a soft robotics workspace, as demonstrated by RUBIC, has advantages for safe and predictable locomotion and has applications in both structured and hazardous environments. Frontiers Media S.A. 2019-07-12 /pmc/articles/PMC7805893/ /pubmed/33501067 http://dx.doi.org/10.3389/frobt.2019.00052 Text en Copyright © 2019 Chen, Diteesawat, Haynes, Partridge, Simons, Werner, Garrad, Rossiter and Conn. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Robotics and AI Chen, Hsing-Yu Diteesawat, Richard Suphapol Haynes, Alice Partridge, Alixander James Simons, Melanie Florine Werner, Enrico Garrad, Martin Rossiter, Jonathan Conn, Andrew T. RUBIC: An Untethered Soft Robot With Discrete Path Following |
title | RUBIC: An Untethered Soft Robot With Discrete Path Following |
title_full | RUBIC: An Untethered Soft Robot With Discrete Path Following |
title_fullStr | RUBIC: An Untethered Soft Robot With Discrete Path Following |
title_full_unstemmed | RUBIC: An Untethered Soft Robot With Discrete Path Following |
title_short | RUBIC: An Untethered Soft Robot With Discrete Path Following |
title_sort | rubic: an untethered soft robot with discrete path following |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805893/ https://www.ncbi.nlm.nih.gov/pubmed/33501067 http://dx.doi.org/10.3389/frobt.2019.00052 |
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