IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i13p1468-d580230.html
   My bibliography  Save this article

A New Approach of Soft Joint Based on a Cable-Driven Parallel Mechanism for Robotic Applications

Author

Listed:
  • Luis Nagua

    (Robotics Lab of the Carlos III University of Madrid, Avda de la Universidad 30, Leganés, 28911 Madrid, Spain
    These authors contributed equally to this work.)

  • Carlos Relaño

    (Robotics Lab of the Carlos III University of Madrid, Avda de la Universidad 30, Leganés, 28911 Madrid, Spain
    These authors contributed equally to this work.)

  • Concepción A. Monje

    (Robotics Lab of the Carlos III University of Madrid, Avda de la Universidad 30, Leganés, 28911 Madrid, Spain)

  • Carlos Balaguer

    (Robotics Lab of the Carlos III University of Madrid, Avda de la Universidad 30, Leganés, 28911 Madrid, Spain)

Abstract

A soft joint has been designed and modeled to perform as a robotic joint with 2 Degrees of Freedom (DOF) (inclination and orientation). The joint actuation is based on a Cable-Driven Parallel Mechanism (CDPM). To study its performance in more detail, a test platform has been developed using components that can be manufactured in a 3D printer using a flexible polymer. The mathematical model of the kinematics of the soft joint is developed, which includes a blocking mechanism and the morphology workspace. The model is validated using Finite Element Analysis (FEA) (CAD software). Experimental tests are performed to validate the inverse kinematic model and to show the potential use of the prototype in robotic platforms such as manipulators and humanoid robots.

Suggested Citation

  • Luis Nagua & Carlos Relaño & Concepción A. Monje & Carlos Balaguer, 2021. "A New Approach of Soft Joint Based on a Cable-Driven Parallel Mechanism for Robotic Applications," Mathematics, MDPI, vol. 9(13), pages 1-25, June.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:13:p:1468-:d:580230
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/13/1468/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/13/1468/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mikhail Posypkin & Andrey Gorshenin & Vladimir Titarev, 2022. "Preface to the Special Issue on “Control, Optimization, and Mathematical Modeling of Complex Systems”," Mathematics, MDPI, vol. 10(13), pages 1-8, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:9:y:2021:i:13:p:1468-:d:580230. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.