Material Characterization for Magnetic Soft Robots

被引:9
|
作者
da Veiga, Tomas [1 ]
Chandler, James H. [1 ]
Pittiglio, Giovanni [1 ]
Lloyd, Peter [1 ]
Holdar, Mohammad [2 ]
Onaizah, Onaizah [1 ]
Alazmani, Ali [2 ]
Valdastri, Pietro [1 ]
机构
[1] Univ Leeds, Sch Elect & Elect Engn, Inst Robot Autonomous Syst & Sensing, STORM Lab, Leeds, W Yorkshire, England
[2] Univ Leeds, Sch Mech Engn, Surg Technol Lab, Leeds, W Yorkshire, England
来源
2021 IEEE 4TH INTERNATIONAL CONFERENCE ON SOFT ROBOTICS (ROBOSOFT) | 2021年
基金
英国工程与自然科学研究理事会; 欧洲研究理事会;
关键词
Soft Robot Materials and Design; Modeling; Control; and Learning for Soft Robots; Surgical Robotics: Steerable Catheters/Needles;
D O I
10.1109/RoboSoft51838.2021.9479189
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Magnetic soft robots are increasingly popular as they provide many advantages such as miniaturization and tetherless control that are ideal for applications inside the human body or in previously inaccessible locations. While non-magnetic elastomers have been extensively characterized and modelled for optimizing the fabrication of soft robots, a systematic material characterization of their magnetic counterparts is still missing. In this paper, commonly employed magnetic materials made out of Ecoflex (TM) 00-30 and Dragon Skin (TM) 10 with different concentrations of NdFeB microparticles were mechanically and magnetically characterized. The magnetic materials were evaluated under uniaxial tensile testing and their behavior analyzed through linear and hyperelastic model comparison. To determine the corresponding magnetic properties, we present a method to determine the magnetization vector, and magnetic remanence, by means of a force and torque load cell and large reference permanent magnet; demonstrating a high level of accuracy. Furthermore, we study the influence of varied magnitude impulse magnetizing fields on the resultant magnetizations. In combination, by applying improved, material-specific mechanical and magnetic properties to a 2-segment discrete magnetic robot, we show the potential to reduce simulation errors from 8.5% to 5.4%.
引用
收藏
页码:335 / 342
页数:8
相关论文
共 50 条
  • [21] Magnetic Actuation of Small-scale Soft Robots
    Khabbazian, Afarin
    Khamesee, Mir Behrad
    Magdanz, Veronika
    7TH INTERNATIONAL CONFERENCE ON MANIPULATION, AUTOMATION, AND ROBOTICS AT SMALL SCALES, MARSS 2024, 2024, : 27 - +
  • [22] Magnetic traps help robots navigate soft tissue
    Parker, Matthew
    NATURE ELECTRONICS, 2021, 4 (11) : 770 - 770
  • [23] FEA-Based Inverse Kinematic Control Hyperelastic Material Characterization of Self-Healing Soft Robots
    Ferrentino, Pasquale
    Tabrizian, Seyedreza Kashef
    Brancart, Joost
    Van Assche, Guy
    Vanderborght, Bram
    Terryn, Seppe
    IEEE ROBOTICS & AUTOMATION MAGAZINE, 2022, 29 (03) : 78 - 88
  • [24] Research on 3D printing composite material mechanical characterization of robust soft-matter robots
    Farid, Muhammad Imran
    Wu, Wenzheng
    Li, Guiwei
    Yu, Zhao
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024, 133 (9-10): : 4401 - 4414
  • [25] Fully Recyclable, Healable, Soft, and Stretchable Dynamic Polymers for Magnetic Soft Robots
    Zhu, Guangda
    Hou, Yi
    Xia, Neng
    Wang, Xin
    Zhang, Chong
    Zheng, Jianzhong
    Jin, Dongdong
    Zhang, Li
    ADVANCED FUNCTIONAL MATERIALS, 2023, 33 (31)
  • [26] Soft Material Characterization for Robotic Applications
    Case, Jennifer C.
    White, Edward L.
    Kramer, Rebecca K.
    SOFT ROBOTICS, 2015, 2 (02) : 80 - 87
  • [27] Continuum Robots and Magnetic Soft Robots: From Models to Interdisciplinary Challenges for Medical Applications
    Wang, Honghong
    Mao, Yi
    Du, Jingli
    MICROMACHINES, 2024, 15 (03)
  • [28] A CuNi-Loaded Porous Magnetic Soft Material: Preparation, Characterization and Magnetic Field-Controlled Modulus
    Bai, Jingyuan
    Wang, Xuejiao
    Zhang, Meilin
    Zhang, Jin
    Chen, Xiaolin
    An, Yanan
    Guan, Renguo
    MATERIALS, 2022, 15 (04)
  • [29] Development and Characterization of a Soft Valve for Automatic Fault Isolation in Inflatable Soft Robots
    Pontin, Marco
    Miyashita, Shuhei
    Damian, Dana D.
    2022 IEEE 5TH INTERNATIONAL CONFERENCE ON SOFT ROBOTICS (ROBOSOFT), 2022, : 62 - 67
  • [30] Joint Design and Fabrication for Multi-Material Soft/Hybrid Robots
    Aygul, Cem
    Kwiczak-Yigitbasi, Joanna
    Baytekin, Bilge
    Ozcan, Onur
    2019 2ND IEEE INTERNATIONAL CONFERENCE ON SOFT ROBOTICS (ROBOSOFT 2019), 2019, : 477 - 482