A Magnetorheological Fluid Based Force Feedback Master Robot for Vascular Interventional Surgery

被引:0
|
作者
Zheng Liu
Shuang Wang
Fan Feng
Le Xie
机构
[1] Shanghai Jiao Tong University,The Institute of Forming Technology & Equipment
[2] Shanghai Jiao Tong University,Institute of Medical Robotics
来源
关键词
Force feedback; Human-robot-interaction; Magnetorheological fluid; Medical robot;
D O I
暂无
中图分类号
学科分类号
摘要
Teleoperated robot system has been adopted in interventional surgeries like cardiac or cerebrovascular diagnoses and treatments. However, it brings confusion and difficulty to surgeons due to the lack of intuitive force feedback from master robot in teleoperated surgeries. In this paper, a force feedback master robot based on magnetorheological fluid dampers is devised to render transparent force feedback to operator. This robot is featured with accurate and fast force regeneration. Force feedback is derived from small scale dampers in this robot, and these dampers are designed with two advantages, high torque accuracy and fast torque response. Different from other work, magnetic reluctance, magnetic field intensity, and low inertia were specially considered during the design of the magnetorheological fluid based damper. A magnetic field simulation verified the correctness of our magnetic field design and model. In addition, an accurate torque model and compensation model for the damper incorporating factors from magnetic field and mechanical property of magnetorheological fluid were proposed. Then, the dampers were manufactured and a prototype of master device was assembled . A series of experiments demonstrated that the damper had superior torque accuracy and fast response time. Thus, this force feedback master robot has a remarkable potential for the vascular interventional surgery.
引用
收藏
相关论文
共 50 条
  • [1] A Magnetorheological Fluid Based Force Feedback Master Robot for Vascular Interventional Surgery
    Liu, Zheng
    Wang, Shuang
    Feng, Fan
    Xie, Le
    [J]. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2022, 106 (01)
  • [2] TCN-Based Distal Force Feedback Strategy of a Vascular Interventional Surgery Robot
    Wang, Shuang
    Shen, Hao
    Liu, Zheng
    Xie, Le
    [J]. IEEE SENSORS JOURNAL, 2024, 24 (03) : 4120 - 4130
  • [3] A Novel Master-Slave Interventional Surgery Robot with Force Feedback and Collaborative Operation
    Song, Yu
    Li, Liutao
    Tian, Yu
    Li, Zhiwei
    Yin, Xuanchun
    [J]. SENSORS, 2023, 23 (07)
  • [4] Force Feedback Based on Magnetorheological Fluid
    Huang, Bai Liang
    Zhan, Wei Da
    Hu, Wen Tao
    Tang, Yan Feng
    [J]. PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MECHATRONICS AND INTELLIGENT ROBOTICS (ICMIR-2019), 2020, 166 : 15 - 20
  • [5] An MR Fluid based Master Manipulator of the Vascular Intervention Robot with Haptic Feedback
    Gao, Qiang
    Zhan, Yu
    Song, Yu
    Wu, Jiabin
    Liu, Junjie
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2021), 2021, : 158 - 163
  • [6] A CNNs-based of Force and Torque Identification Model for Vascular Interventional Surgery Robot
    Wang, Yuxin
    Guo, Shuxiang
    Zhao, Yan
    Cui, Jinxin
    Ma, Youchun
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA), 2019, : 2297 - 2302
  • [7] Force Feedback-based Robotic Catheter Training System for the Vascular Interventional Surgery
    Guo, Shuxiang
    Yan, Lin
    Guo, Jian
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, 2016, : 2197 - 2202
  • [8] A Novel Application of Positioning Method with Force Feedback for Interventional Surgery Robot
    Guo, Shuxiang
    Xu, Changqi
    Xiao, Nan
    Wang, Yuan
    Peng, Weili
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, 2016, : 437 - 441
  • [9] An Improved Master-Slave Interventional Surgery Robotic System with Force Feedback
    Guo, Shuxiang
    Li, Guangxuan
    Gao, Baofeng
    Wang, Yuan
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, 2016, : 415 - 419
  • [10] A new visual feedback-based magnetorheological haptic master for robot-assisted minimally invasive surgery
    Choi, Seung-Hyun
    Kim, Soomin
    Kim, Pyunghwa
    Park, Jinhyuk
    Choi, Seung-Bok
    [J]. SMART MATERIALS AND STRUCTURES, 2015, 24 (06)