3D-Printed Shape-Memory Polymer-Based Variable-Stiffness Origami Actuator for Multimodal Soft Continuum Robots

Soft continuum robots have garnered much attention due to their inherent compliance and interaction ability in complex scenarios. However, the absence of rigid supports in them often causes deformation or instability under large external loads, significantly limiting their applications. Here, we propose a solution that integrates origami-inspired modules with variable-stiffness hinges into soft continuum robots via 3D printing to enable both high load-bearing capacity and versatile deformation. Our innovative design leverages the unique properties of shape-memory polymers to facilitate a seamless transition between soft and stiff states, thereby allowing for dynamic deformations of the robots upon actuation, followed by structural locking to enhance their load-bearing capacity and stability. By integrating multiple Kresling origami modules with selective heating and actuation, our design enables precise and programmable multimodal deformation. This modular approach allows for customizable motion patterns, significantly enhancing the system's scalability and adaptability to diverse applications. To validate the versatility and stability of the proposed multisegment continuum robots, we conducted a series of experiments, demonstrating selective bending in a two-segment configuration, as well as complex tasks such as bottle opening and load-bearing in a three-segment configuration.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-06-07
DOI
https://doi.org/10.1021/acsami.5c04496
Citations
6
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
4.28

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article

3D-Printed Shape-Memory Polymer-Based Variable-Stiffness Origami Actuator for Multimodal Soft Continuum Robots

Yunlong Gao, Xun Zou, Yunquan Li, Shikun Lin et al.
6 citations
ACS Applied Materials & Interfaces
Advanced Materials and Mechanics
4.28
article

3D-Printed Shape-Memory Polymer-Based Variable-Stiffness Origami Actuator for Multimodal Soft Continuum Robots

Yunlong Gao, Xun Zou, Yunquan Li, Shikun Lin, Nan Hu, Yuan‐Fang Zhang, Wenqi Wang, Jiayang Liu, Fuqiang Chen, Chuanwei Liang
article en
6 citations

Abstract

Soft continuum robots have garnered much attention due to their inherent compliance and interaction ability in complex scenarios. However, the absence of rigid supports in them often causes deformation or instability under large external loads, significantly limiting their applications. Here, we propose a solution that integrates origami-inspired modules with variable-stiffness hinges into soft continuum robots via 3D printing to enable both high load-bearing capacity and versatile deformation. Our innovative design leverages the unique properties of shape-memory polymers to facilitate a seamless transition between soft and stiff states, thereby allowing for dynamic deformations of the robots upon actuation, followed by structural locking to enhance their load-bearing capacity and stability. By integrating multiple Kresling origami modules with selective heating and actuation, our design enables precise and programmable multimodal deformation. This modular approach allows for customizable motion patterns, significantly enhancing the system's scalability and adaptability to diverse applications. To validate the versatility and stability of the proposed multisegment continuum robots, we conducted a series of experiments, demonstrating selective bending in a two-segment configuration, as well as complex tasks such as bottle opening and load-bearing in a three-segment configuration.

ACS Applied Materials & InterfacesVol. 17(29)
Intelligent Health (United Kingdom) (GB), Guangdong Institute of New Materials (CN), South China University of Technology (CN)
National Natural Science Foundation of China, Guangzhou Science and Technology Program key projects, Basic and Applied Basic Research Foundation of Guangdong Province
Affordable and clean energy
Openalex Percentile: Top 6%
Advanced Materials and Mechanics
4.28
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