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

被引：0
|
作者：
Lyu, Pengrong [1 ,2 ]
Liu, Danqing [1 ,2 ]
机构：
[1] Eindhoven Univ Technol, Inst Complex Mol Syst, Dolech 2, NL-5612 AZ Eindhoven, Netherlands
[2] Eindhoven Univ Technol, Dept Chem Engn & Chem, Dolech 2, NL-5612 AZ Eindhoven, Netherlands
来源：
EMERGING LIQUID CRYSTAL TECHNOLOGIES XIX | 2024年 / 12907卷
关键词：
liquid crystal elastomers; multi-functional single material; pick-and-place operations; electrically-driven; softrobotic arm;
D O I：
10.1117/12.3000162
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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.
引用
收藏
页数：7
相关论文
共 50 条
  • [21] Parallelism of Pick-and-Place operations by multi-gripper robotic arms
    Moghaddam, Mohsen
    Nof, Shimon Y.
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2016, 42 : 135 - 146
  • [22] Mechatronic design concept and its application to pick-and-place robotic systems
    da Silva, Maira M.
    Goncalves, Luiz A. M.
    JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2013, 35 (01) : 31 - 40
  • [23] Mechatronic design concept and its application to pick-and-place robotic systems
    Maíra M. da Silva
    Luiz A. M. Gonçalves
    Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2013, 35 : 31 - 40
  • [24] COMPUTER VISION AND MACHINE LEARNING TO CREATE AN ADVANCED PICK-AND-PLACE ROBOTIC OPERATION USING INDUSTRY 4.0 TRENDS
    Guerra-Zubiaga, David
    Franklin, Angelicia
    Escobar-Escobar, Diego
    Lemley, Timothey
    Hariri, Neeyaz
    Plattel, Jeremy
    Ham, Chan
    PROCEEDINGS OF ASME 2022 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, IMECE2022, VOL 2A, 2022,
  • [25] Monocular Camera-Based Robotic Pick-and-Place in Fusion Applications
    Yin, Ruochen
    Wu, Huapeng
    Li, Ming
    Cheng, Yong
    Song, Yuntao
    Handroos, Heikki
    APPLIED SCIENCES-BASEL, 2023, 13 (07):
  • [26] Robotic Pick-and-Place With Uncertain Object Instance Segmentation and Shape Completion
    Gualtieri, Marcus
    Platt, Robert
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 6 (02): : 1753 - 1760
  • [27] Enhance pick-and-place performance using multimodal interaction in operation environment
    Guo, Xinwei
    Chen, Yang
    INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2023, 50 (04): : 699 - 705
  • [28] Part Alignment Identification and Adaptive Pick-and-Place Operation for Flat Surfaces
    da Costa, Paulo Moreira
    Costa, Paulo
    Costa, Pedro
    Lima, Jose
    Veiga, Germano
    ROBOTICS IN SMART MANUFACTURING, 2013, 371 : 203 - 212
  • [29] Optimization of Mono- and Bi-Articular Parallel Elastic Elements for a Robotic Arm Performing a Pick-and-Place Task
    Marchal, Maxime
    Furnemont, Raphal
    Vanderborght, Bram
    Mostafaoui, Ghiles
    Verstraten, Tom
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 8 (08) : 5061 - 5068
  • [30] Visual Detection of Tiny and Transparent Objects for Autonomous Robotic Pick-and-Place Operations
    Marken, Timo
    Matich, Sebastian
    Neykov, Daniel
    Muenig, Markus
    Theissler, Andreas
    Atzmueller, Martin
    2022 IEEE 27TH INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2022,
12345