skip to main content
10.1145/3290607.3311767acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
abstract
Public Access

Digital Fabrication of Soft Actuated Objects by Machine Knitting

Published:02 May 2019Publication History

ABSTRACT

With recent interest in shape-changing interfaces, material-driven design, wearable technologies, and soft robotics, digital fabrication of soft actuatable material is increasingly in demand. Much of this research focuses on elastomers or non-stretchy air bladders. Computationally-controlled machine knitting offers an alternative fabrication technology which can rapidly produce soft textile objects that have a very different character: breathable, lightweight, and pleasant to the touch. These machines are well established and optimized for the mass production of garments, but have received much less attention as general purpose fabrication device compared to other digital fabrication techniques such as CNC machining or 3D printing. In this work, we explore a series of design strategies for machine knitting actuated soft objects by integrating tendons with shaping and anisotropic texture design.

Skip Supplemental Material Section

Supplemental Material

vid1066.mp4

mp4

73 MB

References

  1. Lea Albaugh, Scott Hudson, and Lining Yao. 2019. Digital Fabrication of Soft Actuated Objects by Machine Knitting. CHI Conference on Human Factors in Computing Systems Proceedings (2019), 13. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Digital Fabrication of Soft Actuated Objects by Machine Knitting

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
        May 2019
        3673 pages
        ISBN:9781450359719
        DOI:10.1145/3290607

        Copyright © 2019 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 2 May 2019

        Check for updates

        Qualifiers

        • abstract

        Acceptance Rates

        Overall Acceptance Rate6,164of23,696submissions,26%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      HTML Format

      View this article in HTML Format .

      View HTML Format