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Updated: Aug 23, 2025

Four-Dimensional Printing of Stimuli-Responsive Hydrogel-Based Soft Robots
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A Hydrogel-Based Self-Sensing Underwater Actuator.

Shuyu Wang1,2, Zhaojia Sun1, Shuaiyang Duan1

  • 1Department of Control Engineering, Northeastern University, Qinhuangdao 066001, China.

Micromachines
|October 27, 2022
PubMed
Summary
This summary is machine-generated.

Researchers developed a novel hydrogel actuator for underwater soft robots, achieving fast response and self-sensing capabilities. This biomimetic design enables efficient underwater swimming and real-time proprioception for advanced control.

Keywords:
hydrogel actuatorsself-sensingsoft-robot modellingunderwater actuators

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Area of Science:

  • Soft Robotics
  • Biomaterials Science
  • Hydrogel Actuators

Background:

  • Hydrogel-based soft robots offer biocompatibility for underwater exploration but face challenges in dexterity, actuation force, and integrated sensing.
  • Real-time proprioception is essential for effective feedback control in soft robotic systems.
  • Integrating sensors into soft actuators to mimic biological systems remains a significant hurdle.

Purpose of the Study:

  • To develop a highly stretchable and conductive hydrogel actuator with fast response and self-sensing capabilities for underwater soft robots.
  • To demonstrate the bionic application of the hydrogel actuator for underwater locomotion.
  • To model the actuator's bending behavior for precise control and to explore biomimetic undulation control mechanisms.

Main Methods:

  • Fabrication of a PneuNet-shaped hydrogel actuator using a highly stretchable and conductive hydrogel (1400% strain).
  • Symmetrical assembly of two actuators for bidirectional actuation and demonstration of underwater swimming.
  • Exploration of self-sensing capacity through strain-induced resistance change and characterization of proprioception sensitivity.
  • Development of a predictive model using finite-element analysis and first-order differential equations to describe actuator bending.

Main Results:

  • The hydrogel actuator exhibited a fast response time (0.83 s) and achieved an underwater swimming speed of 2 cm/s (0.19 BL/s).
  • The self-sensing capability allowed real-time monitoring of undulation with a sensitivity of 0.2%/degree, mimicking biological proprioception.
  • The developed model accurately predicted the actuator's bending response across various pressures.
  • The study successfully integrated actuation and sensing into a single soft unit.

Conclusions:

  • The novel hydrogel actuator addresses key challenges in soft robotics for underwater exploration, offering high performance and integrated sensing.
  • The self-sensing capability and predictive model pave the way for future soft robots with advanced feedback control for underwater tasks.
  • The biomimetic approach to undulation control provides valuable insights for further research in biologically inspired robotics.