Kirigami analogies for parallelogram-based remote-center-of-motion mechanisms

Bok Seng Yeow , Alex Wang , Chin-Hsing Kuo , Hongliang Ren

Biomimetic Intelligence and Robotics ›› 2025, Vol. 5 ›› Issue (3) : 100251 -100251.

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Biomimetic Intelligence and Robotics ›› 2025, Vol. 5 ›› Issue (3) : 100251 -100251. DOI: 10.1016/j.birob.2025.100251
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Kirigami analogies for parallelogram-based remote-center-of-motion mechanisms

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Abstract

This paper presents a framework for applying origami-kirigami techniques to design kirigami analogies for remote center-of-motion (RCM) mechanisms, specifically targeting minimally invasive keyhole procedures. The proposed kirigami RCM analogs emulate the motions of existing bar-linkage RCMs, offering advantages in deployability, transportability, and simplified fabrication. A workflow is introduced to transition from initial crease patterns to functional kirigami equivalents, demonstrating the potential for customizability and scalability. Furthermore, a proof-of-concept kirigami RCM under magnetic actuation is presented, showcasing its ability to reduce structural profile during transportation and improve device deployment. Three representative parallelogram-based RCM mechanisms: coupled dual parallelogram, back-drivable, and triple parallelogram, are transformed into kirigami analogs, highlighting the versatility of the design approach. The discussion includes computational modeling, fabrication considerations, and potential applications in MIS robots. This work contributes to the development of compact, deployable, and cost-effective RCM mechanisms for robotic keyhole procedures. This approach can also further facilitate the education of RCM mechanisms and the hands-on demonstration of small-scale RCM concepts.

Keywords

Remote center of motion / Parallelogram / Origami / Kirigami / Minimally invasive procedures / Deployable / Developable / Mechanism

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Bok Seng Yeow, Alex Wang, Chin-Hsing Kuo, Hongliang Ren. Kirigami analogies for parallelogram-based remote-center-of-motion mechanisms. Biomimetic Intelligence and Robotics, 2025, 5(3): 100251-100251 DOI:10.1016/j.birob.2025.100251

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CRediT authorship contribution statement

Bok Seng Yeow: Formal analysis, Conceptualization. Alex Wang: Writing - original draft, Formal analysis, Conceptualization, Visualization, Data curation. Chin-Hsing Kuo: Writing - review & editing, Methodology. Hongliang Ren: Writing - review & editing, Resources, Investigation, Supervision, Project administration, Conceptualization.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

This work was supported in part by the Regional Joint Fund Project of the Basic and Applied Research Fund of Guangdong Province, Singapore (2021B1515120035), Research Impact Fund, Singapore (RIF R4020-22), and Research Grants Council (RGC) - General Research Fund (GRF) (14206125).

Appendix A. Supplementary data

Supplementary material related to this article can be found online at https://doi.org/10.1016/j.birob.2025.100251.

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