Ferromagnetic soft continuum robots

By Yoonho Kim, G. Parada, Shengduo Liu, Xuanhe Zhao. Science Robotics, 2019

1,070 citations recorded by the source corpus.

A submillimeter-scale, soft continuum robot navigates through highly constrained environments by steering based on magnetic actuation. Small-scale soft continuum robots capable of active steering and navigation in a remotely controllable manner hold great promise in diverse areas, particularly in medical applications. Existing continuum robots, however, are often limited to millimeter or centimeter scales due to miniaturization challenges inherent in conventional actuation mechanisms, such as pulling mechanical wires, inflating pneumatic or hydraulic chambers, or embedding rigid magnets for manipulation. In addition, the friction experienced by the continuum robots during navigation poses another challenge for their applications. Here, we present a submillimeter-scale, self-lubricating soft continuum robot with omnidirectional steering and navigating capabilities based on magnetic actuation, which are enabled by programming ferromagnetic domains in its soft body while growing hydrogel skin on its surface. The robot’s body, composed of a homogeneous continuum of a soft polymer matrix with uniformly dispersed ferromagnetic microparticles, can be miniaturized below a few hundreds of micrometers in diameter, and the hydrogel skin reduces the friction by more than 10 times. We demonstrate the capability of navigating through complex and constrained environments, such as a tortuous cerebrovascular phantom with multiple aneurysms. We further demonstrate additional functionalities, such as steerable laser delivery through a functional core incorporated in the robot’s body. Given their compact, self-contained actuation and intuitive manipulation, our ferromagnetic soft continuum robots may open avenues to minimally invasive robotic surgery for previously inaccessible lesions, thereby addressing challenges and unmet needs in healthcare.

Subfields: Biomedical Engineering, Condensed Matter Physics, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/3ab16c3c10046e7982a4c55a28f7d8ffe3aedc45

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

  1. Mokarram Hossain
  2. A. Bastola
  3. Xuanhe Zhao
  4. Yoonho Kim
  5. Marcia Kilchenman O'Malley
  6. Michael Goldfarb
  7. Guang-Zhong Yang
  8. Shuai Wu

In Condensed Matter Physics

  1. Mokarram Hossain
  2. A. Bastola
  3. Xuanhe Zhao
  4. Yoonho Kim

In Mechanical Engineering

  1. Mokarram Hossain
  2. A. Bastola
  3. Shuai Wu
  4. H. Jerry Qi
  5. Ruike Renee Zhao
  6. Qiji Ze
  7. Nabil Simaan
  8. Xuanhe Zhao

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