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Redesign Energy Landscapes of A Bistable Magnetoelastic Origami Towards Tissue Puncture

  • Yunong Li (Co-first Author)
  • , Wenchao Yue (Co-first Author)
  • , Chengxi Bai
  • , Ruizhou Zhao
  • , Fang Leng
  • , Chenjie Xu
  • , Hongliang Ren*
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Bistable mechanisms have been extensively investigated and applied in various fields, including robotics, augmented and virtual reality (AR/VR) devices, and mechanical computing. The energy landscape has emerged as a powerful analytical tool for understanding these mechanisms. Consequently, designing energy landscapes has become a critical challenge in developing bistable mechanisms. Inspired from cnidocyte cell, this study presents a novel approach utilizing a hybrid system comprising two subsystems to modify the energy landscape. The proposed system integrates elastic potential energy and magnetic field potential energy by affixing a rigid origami mechanism to an elastic substrate and strategically positioning magnets. The two subsystems exhibit varying coupling relationships at different stages, resulting in an overall energy landscape characterized by a reduced forward energy barrier and an enhanced backward energy barrier. Applying this principle, we designed a prototype for tissue puncture applications featuring a lower activation force and a higher puncture force compared to pure pneumatic design. The efficacy of this design was validated through experimental trials. The prototype demonstrated promising puncture capabilities, achieving a relatively high puncture velocity (63.2 mm/s) and substantial puncture force (6.14 N). These characteristics enabled the successful penetration of porcine gastrointestinal tissue.
© 2025 IEEE
Original languageEnglish
Title of host publication2025 IEEE 8th International Conference on Soft Robotics (RoboSoft)
PublisherIEEE
Number of pages7
ISBN (Electronic)979-8-3315-2020-5
ISBN (Print)979-8-3315-2021-2
DOIs
Publication statusPublished - 2025
Event8th International Conference on Soft Robotics (RoboSoft 2025) - Lausanne, Swaziland
Duration: 22 Apr 202526 Apr 2025

Publication series

Name
ISSN (Print)2769-4526
ISSN (Electronic)2769-4534

Conference

Conference8th International Conference on Soft Robotics (RoboSoft 2025)
PlaceSwaziland
CityLausanne
Period22/04/2526/04/25

Funding

The work was supported by the Guangdong Basic and Applied Basic Research Foundation (GBABF) under Grant 2021B1515120035, Hong Kong Research Grants Council (RGC) NSFC/RGC Joint Research Scheme N CUHK420/22, Collaborative Research Fund (CRF C4063-18G, C4026-21G), Research Grants Council (RGC) - Research Impact Fund (RIF R4020- 22), and General Research Fund (GRF 14203323), Shenzhen-Hong KongMacau Technology Research Programme (Type C) Grant 202108233000303 at The Chinese University of Hong Kong (CUHK).

RGC Funding Information

  • RGC-funded

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