3D Knitting for Pneumatic Soft Robotics

Abstract

Soft robots adapt passively to complex environments due to their inherent compliance, allowing them to interact safely with fragile or irregular objects and traverse uneven terrain. The vast tunability and ubiquity of textiles has enabled new soft robotic capabilities, especially in the field of wearable robots, but existing textile processing techniques (e.g., cut‐and‐sew, thermal bonding) are limited in terms of rapid, additive, accessible, and waste‐free manufacturing. While 3D knitting has the potential to address these limitations, an incomplete understanding of the impact of structure and material on knit‐scale mechanical properties and macro‐scale device performance has precluded the widespread adoption of knitted robots. In this work, the roles of knit structure and yarn material properties on textile mechanics spanning three regimes–unfolding, geometric rearrangement, and yarn stretching–are elucidated and shown to be tailorable across unique knit architectures and yarn materials. Based on this understanding, 3D knit soft actuators for extension, contraction, and bending are constructed. Combining these actuation primitives enables the monolithic fabrication of entire soft grippers and robots in a single‐step additive manufacturing procedure suitable for a variety of applications. This approach represents a first step in seamlessly “printing” conformal, low‐cost, customizable textile‐based soft robots on‐demand.

Document Details

Document Type
Pub Defense Publication
Publication Date
Apr 23, 2023
Source ID
10.1002/adfm.202212541

Entities

People

  • Clark B. Teeple
  • Gabrielle Ohlson
  • James C. Weaver
  • James Mccann
  • Katia Bertoldi
  • Kausalya Mahadevan
  • Michelle C Yuen
  • Moritz A. Graule
  • Robert J Wood
  • Vanessa Sanchez

Organizations

  • Army Research Office
  • Carnegie Mellon University
  • Harvard University
  • National GEM Consortium
  • National Science Foundation
  • Stanford University
  • Wyss Institute for Biologically Inspired Engineering

Tags

Readers

  • Nanocomposite Materials Science
  • Reinforced Composite Materials
  • Robotics and Automation.

Technology Areas

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