Leveraging Origami Mechanisms for Enhanced Manipulation: Design and Modeling of an Extensible Robotic Arm

Abstract Conventional robotic arms are primarily designed for bending deformation at a constant length, which limits their ability to meet operational requirements that involve extending and manipulating within complex environments, such as deep cavities and obstacle-cluttered spaces. To address this limitation, this study proposes an origami-inspired extensible robotic arm. The robotic arm consists of a series of origami units arranged along a central axis and is driven by cables. It exhibits coupled elongation–bending deformation, offering advantages such as lightweight construction, a large extension-to-contraction ratio, and compact storability. However, the origami-inspired extensible arm has been hindered by multiscale simulation challenges spanning two orders of magnitude in spatial dimensions and four in temporal dimensions, where traditional contact-based methods suffer from excessive computational costs. To overcome these limitations, this work establishes a modeling methodology tailored for origami-based extensible robotic arms, taking into account key factors such as contact between origami panels and the time-varying length of the driving cables. A full-scale simulation model is developed, revealing the mechanism of coupled extension–bending deformation of the origami structure and extracting the mechanical responses under differently activated driving cables. This model provides a technical foundation for operational performance evaluation and enables rapid validation of various control strategies, thereby enhancing the transferability from simulation to practical applications for origami-based extensible robotic arms.

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Publication Details

Journal
Journal of Mechanisms and Robotics
Published
2026-09-10
DOI
https://doi.org/10.1115/1.4072691
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
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article

Leveraging Origami Mechanisms for Enhanced Manipulation: Design and Modeling of an Extensible Robotic Arm

Sunquan Yu, Xiang Zhang, Qi Zhang, Kangjia Fu et al.
Journal of Mechanisms and Robotics
Advanced Materials and Mechanics
article

Leveraging Origami Mechanisms for Enhanced Manipulation: Design and Modeling of an Extensible Robotic Arm

Sunquan Yu, Xiang Zhang, Qi Zhang, Kangjia Fu, Yanjie Yang, Di Chen, Haopeng Liang, Xuesong Wu
article en

Abstract

Abstract Conventional robotic arms are primarily designed for bending deformation at a constant length, which limits their ability to meet operational requirements that involve extending and manipulating within complex environments, such as deep cavities and obstacle-cluttered spaces. To address this limitation, this study proposes an origami-inspired extensible robotic arm. The robotic arm consists of a series of origami units arranged along a central axis and is driven by cables. It exhibits coupled elongation–bending deformation, offering advantages such as lightweight construction, a large extension-to-contraction ratio, and compact storability. However, the origami-inspired extensible arm has been hindered by multiscale simulation challenges spanning two orders of magnitude in spatial dimensions and four in temporal dimensions, where traditional contact-based methods suffer from excessive computational costs. To overcome these limitations, this work establishes a modeling methodology tailored for origami-based extensible robotic arms, taking into account key factors such as contact between origami panels and the time-varying length of the driving cables. A full-scale simulation model is developed, revealing the mechanism of coupled extension–bending deformation of the origami structure and extracting the mechanical responses under differently activated driving cables. This model provides a technical foundation for operational performance evaluation and enables rapid validation of various control strategies, thereby enhancing the transferability from simulation to practical applications for origami-based extensible robotic arms.

Journal of Mechanisms and Robotics
Academy of Military Medical Sciences (CN), PLA Academy of Military Science (CN), Beijing Fengtai Hospital (CN), Beijing City University (CN)
Openalex Percentile: Top 19%
Advanced Materials and Mechanics
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