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전자석 내장형 소프트 카테터 로봇 형상 예측 방법

Shape Prediction Method for Electromagnet-Embedded Soft Catheter Robot

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초록

This study introduces a novel method for predicting the shape of soft catheter robots embedded with electromagnets. As an advancement in the realm of soft robotics, these catheter robots are crafted from flexible and pliable materials, ensuring enhanced safety and adaptability during interactions with human tissues. Given the pivotal role of catheters in minimally invasive surgeries (MIS), our design stands out by facilitating active control over the orientation and intensity of the inbuilt electromagnets. This ensures precise targeting and manipulation of the catheter segments. The research encompasses a comprehensive breakdown of the magnetic modeling, tracking algorithms, experimental layout, and analytical techniques. Both simulation and experimental results validate the efficacy of our method, underscoring its potential to augment accuracy in MIS and revolutionize healthcare-oriented soft robotics.

Abstract

This study introduces a novel method for predicting the shape of soft catheter robots embedded with electromagnets. As an advancement in the realm of soft robotics, these catheter robots are crafted from flexible and pliable materials, ensuring enhanced safety and adaptability during interactions with human tissues. Given the pivotal role of catheters in minimally invasive surgeries (MIS), our design stands out by facilitating active control over the orientation and intensity of the inbuilt electromagnets. This ensures precise targeting and manipulation of the catheter segments. The research encompasses a comprehensive breakdown of the magnetic modeling, tracking algorithms, experimental layout, and analytical techniques. Both simulation and experimental results validate the efficacy of our method, underscoring its potential to augment accuracy in MIS and revolutionize healthcare-oriented soft robotics.

참고문헌 (15)

  1. C. Lee, "Soft robot review", International Journal of Control, Automation and Systems, 15, pp.3~15 (2017)[DOI]
  2. A. Chen. R. Yin, "Soft robotics : Definition and research issues", 2017 24th IEEE international conference on mechatronics and machine vision in practice(M2VIP), pp.366~370 (2017)
  3. D. Rus, "Design, fabrication and control of soft robots", Nature, 521(7553), pp.467~475 (2015)[DOI]
  4. M. Cianchetti, "Biomedical applications of soft robotics", Nature Reviews Materials, 3(6), pp.143~153 (2018)[DOI]
  5. P. Polygerinos, "Soft robotic glove for combined assistance and at-home rehabilitation", Robotics and Autonomous Systems, 73, pp.135~143 (2015)[DOI]
  6. A. Ali, "Steerable catheters in cardiology : Classifying steerability and assessing future challenges", IEEE Transactions on Biomedical Engineering, 63(4), pp.679~693 (2016)[DOI]
  7. P. E. Dupont, "Design and control of concentric-tube robots", IEEE Transactions on Robotics, 26(2), pp.209~225 (2010)[DOI]
  8. F. Carpi, "Stereotaxis Niobe® magnetic navigation system for endocardial catheter ablation and gastrointestinal capsule endoscopy", Expert review of medical devices, 6(5), pp.487~498 (2014)[DOI]
  9. Y. Kim, "Ferromagnetic soft continuum robots", Science Robotics, 4(33) (2019)[DOI]
  10. Y. Haga, "Small diameter hydraulic active bending catheter using laser processed super elastic alloy and silicone rubber tube", 2005 3rd IEEE, 2005, 245~248
  11. E. A yvali, "Towards a discretely actuated steerable cannula for diagnostic and therapeutic procedures", The International journal of robotics research, 31(5), pp.588~603 (2012)[DOI]
  12. J. J. Abbott, "Magnetic Methods in Robotics", Annual Review of Control, Robotics, and Autonomous Systems, 3(1), pp.57~90 (2020)[DOI]
  13. H. Yang, "Recent advances and trends in visual tracking : A review", Neurocomputing, 74(18), pp.3823~3831 (2011)[DOI]
  14. P. P. Gundewar, "A review on an obstacle detection in navigation of visually impaired", International Organization of Scientific Research Journal of Engineering(IOSRJEN), 3(1), pp.01~06 (2013)
  15. L. Marechal, "Toward a common framework and database of materials for soft robotics", Soft robotics, 8(3), pp.284~297 (2021)[DOI]

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