Liquid crystal elastomer soft robotic arm for pick-and-place operation controlled by light

Pengrong Lyu, Danqing Liu (Corresponding author)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

In the past decade, liquid-crystal network (LCN) technology has been used for the development of soft actuators based on the controlled reversible changes of the order parameter of the oriented polymer network. Various deformations ranging from simply bending or curling to complex origami types of morphing are demonstrated. Herein, the work on using LCNs for soft robotic applications in pick-and-place operation. This was achieved through our suction-cup-based gripper that mimics the reversible self-generated vacuum within cephalopod-limb suckers. Our gripper can generate attachment forces up to 4000 times the weight of the gripper, comparable to the sucker of a live octopus.

Original languageEnglish
Title of host publicationEmerging Liquid Crystal Technologies XIX
EditorsLiang-Chy Chien, Nelson V. Tabiryan, Jun Yamamoto
PublisherSPIE
Number of pages7
ISBN (Electronic)9781510670754
ISBN (Print)9781510670747
DOIs
Publication statusPublished - 13 Mar 2024
EventSPIE OPTO 2024 - San Francisco, United States
Duration: 30 Jan 202431 Jan 2024

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12907
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceSPIE OPTO 2024
Country/TerritoryUnited States
CitySan Francisco
Period30/01/2431/01/24

Keywords

  • electrically-driven
  • liquid crystal elastomers
  • multi-functional single material
  • pick-and-place operations
  • soft-robotic arm

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