Heterogeneous Hydrogel Structures with Spatiotemporal Reconfigurability using Addressable and Tunable Voxels

Abstract

Stimuli‐responsive hydrogels can sense environmental cues and change their volume accordingly without the need for additional sensors or actuators. This enables a significant reduction in the size and complexity of resulting devices. However, since the responsive volume change of hydrogels is typically uniform, their robotic applications requiring localized and time‐varying deformations have been challenging to realize. Here, using addressable and tunable hydrogel building blocks—referred to as soft voxel actuators (SVAs)—heterogeneous hydrogel structures with programmable spatiotemporal deformations are presented. SVAs are produced using a mixed‐solvent photopolymerization method, utilizing a fast reaction speed and the cononsolvency property of poly(N‐isopropylacrylamide) (PNIPAAm) to produce highly interconnected hydrogel pore structures, resulting in tunable swelling ratio, swelling rate, and Young's modulus in a simple, one‐step casting process that is compatible with mass production of SVA units. By designing the location and swelling properties of each voxel and by activating embedded Joule heaters in the voxels, spatiotemporal deformations are achieved, which enables heterogeneous hydrogel structures to manipulate objects, avoid obstacles, generate traveling waves, and morph to different shapes. Together, these innovations pave the way toward tunable, untethered, and high‐degree‐of‐freedom hydrogel robots that can adapt and respond to changing conditions in unstructured environments.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 25, 2021
Source ID
10.1002/adma.202005906

Entities

People

  • Daniel M. Aukes
  • Hamid Marvi
  • Matthew M. Peet
  • Rebecca E. Fisher
  • Roozbeh Khodambashi
  • Rossana Rico
  • Spring Berman
  • Ximin He
  • Yousif Alsaid

Organizations

  • Arizona State University
  • Office of Naval Research
  • University of Arizona
  • University of California, Los Angeles

Tags

Readers

  • Integrated Circuit Design and Technology.
  • Medical Imaging.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy