A soft active origami robot
A soft active origami robot
Origami has emerged as a powerful methodology for developing intelligent transformable robots. Although there is considerable progress in origami techniques to enable the design of a broad range of geometries, there is a dearth of effective actuation mechanisms which can eliminate the complex process of assembling external actuators. This paper illustrates a soft active origami robot based on electrostatic attraction. The time-varying electrostatic forces induced by AC voltage can lead to vibration of the origami structure. Inertia forces induced by vibration will then result in a traction, which can overcome the friction and facilitate the robot’s forward motion. This robot is composed of two paper strips coated with compliant electrodes which act as both the body (or skeleton) and the actuator, significantly simplifying the fabrication and decreasing the structural complexity, weight ((∼7 g) and cost (∼1US$). A theoretical model is developed to interpret the actuation mechanism and the simulations are qualitatively consistent with the experiments. This soft active origami robot exhibits interesting attributes such as robustness, scalability and adaptability. This robot also demonstrates its capability to perform surveillance tasks in a 2D plane. This work investigates a new actuating mechanism for driving an origami structure, which results in simple and rapid prototyping of a soft robot. Soft active origami structures are expected to offer inexpensive solutions to space and/or swarm robots, due to properties of simple structure, low weight, low volume and low cost.
30-37
Li, J.
5e19ed9a-cb56-4804-bd21-0df17606f087
Godaba, H.
787c1482-6a29-43ad-b49e-a6a2b7175f0c
Zhang, Z.Q.
cb33faff-41f1-4af9-af42-699f34ecfa6e
Foo, C.C.
58df5f23-c68e-40f5-a2fa-37d242f84e05
Zhu, J.
6d052aa4-4ffd-418d-a39b-993ef6c1b8b6
6 September 2018
Li, J.
5e19ed9a-cb56-4804-bd21-0df17606f087
Godaba, H.
787c1482-6a29-43ad-b49e-a6a2b7175f0c
Zhang, Z.Q.
cb33faff-41f1-4af9-af42-699f34ecfa6e
Foo, C.C.
58df5f23-c68e-40f5-a2fa-37d242f84e05
Zhu, J.
6d052aa4-4ffd-418d-a39b-993ef6c1b8b6
Li, J., Godaba, H., Zhang, Z.Q., Foo, C.C. and Zhu, J.
(2018)
A soft active origami robot.
Extreme Mechanics Letters, 24, .
(doi:10.1016/j.eml.2018.08.004).
Abstract
Origami has emerged as a powerful methodology for developing intelligent transformable robots. Although there is considerable progress in origami techniques to enable the design of a broad range of geometries, there is a dearth of effective actuation mechanisms which can eliminate the complex process of assembling external actuators. This paper illustrates a soft active origami robot based on electrostatic attraction. The time-varying electrostatic forces induced by AC voltage can lead to vibration of the origami structure. Inertia forces induced by vibration will then result in a traction, which can overcome the friction and facilitate the robot’s forward motion. This robot is composed of two paper strips coated with compliant electrodes which act as both the body (or skeleton) and the actuator, significantly simplifying the fabrication and decreasing the structural complexity, weight ((∼7 g) and cost (∼1US$). A theoretical model is developed to interpret the actuation mechanism and the simulations are qualitatively consistent with the experiments. This soft active origami robot exhibits interesting attributes such as robustness, scalability and adaptability. This robot also demonstrates its capability to perform surveillance tasks in a 2D plane. This work investigates a new actuating mechanism for driving an origami structure, which results in simple and rapid prototyping of a soft robot. Soft active origami structures are expected to offer inexpensive solutions to space and/or swarm robots, due to properties of simple structure, low weight, low volume and low cost.
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Accepted/In Press date: 18 August 2018
e-pub ahead of print date: 23 August 2018
Published date: 6 September 2018
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Local EPrints ID: 499283
URI: http://eprints.soton.ac.uk/id/eprint/499283
PURE UUID: 1fac0a6b-2f8e-434c-b39c-634dbde82ff7
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Date deposited: 14 Mar 2025 17:30
Last modified: 15 Mar 2025 03:16
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Author:
J. Li
Author:
H. Godaba
Author:
Z.Q. Zhang
Author:
C.C. Foo
Author:
J. Zhu
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