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A multi-stimulus-responsive bionic fish microrobot for remote intelligent control applications.

Wenguang Yang1, Xiaowen Wang1, Zhen Wang1

  • 1School of Electromechanical and Automotive Engineering, Yantai University, Yantai, 264005, China. ytu_yangwg@163.com.

Soft Matter
|January 10, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel multi-stimulus responsive bionic fish microrobot. This advanced microrobot utilizes poly(N-isopropylacrylamide) (pNIPAM) for enhanced motion control and obstacle avoidance in intelligent systems.

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Area of Science:

  • Materials Science
  • Robotics
  • Microfluidics

Background:

  • Bionic fish microrobots are gaining attention for their adaptive capabilities.
  • Traditional microrobots are limited to single-stimulus response and 2D movement, restricting functionality.
  • Existing designs struggle with complex tasks like obstacle avoidance and transportation.

Purpose of the Study:

  • To develop a multi-stimulus responsive bionic fish microrobot.
  • To overcome the limitations of single-stimulus driven microrobots.
  • To enable complex programmable motion, including obstacle avoidance and 3D movement.

Main Methods:

  • Fabrication of a microrobot using temperature-responsive poly(N-isopropylacrylamide) (pNIPAM) hydrogel.
  • Impregnation of the hydrogel with carbon nanotubes (CNTs) and Fe3O4 for magnetic and photothermal properties.
  • Utilizing optical, magnetic, and ethanol stimuli for microrobot actuation.

Main Results:

  • The microrobot demonstrated complex programmable translational motion on 2D surfaces.
  • Controllable rising and sinking capabilities were achieved, enabling 3D movement.
  • Successful simulation of fish-like motion and effective obstacle avoidance were observed.

Conclusions:

  • The developed multi-stimulus responsive microrobot significantly expands the capabilities of bionic fish.
  • This technology offers advanced motion control for obstacle avoidance and transportation tasks.
  • Potential applications are foreseen in intelligent control systems and micro-robotics.