IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v531y2026ics0096300326002420.html

Collision-free predefined-time formation control for nonholonomic mobile robots along parametric curves

Author

Listed:
  • Zhang, Zheng
  • Yang, Guang-Hong

Abstract

This paper studies the problem of formation control for nonholonomic mobile robots along parametric curves with collision/obstacle avoidance, which commonly appears in practical tasks such as environment monitoring. First, a parametric representation of the target curve is obtained through curve fitting, with its coefficients characterizing the curve’s geometry shape. Then, based on the curve coefficients, predefined-time (PT) stability and control barrier functions, a collision-free guidance module is designed, which generates safe reference signals to achieve the PT formation convergence and simultaneously ensure collision/obstacle avoidance. Then, a novel tracking controller equipped by a barrier function is constructed to keep each robot’s tracking error within a preset boundary. Finally, the effectiveness of the proposed scheme is illustrated by numerical simulations. Compared with the existing results, which lack physical safety considerations, the scheme ensures that robots not only form the curve in predefined time but also avoid collisions. Besides, the designed guidance module offers a plug-and-play function for robot products without altering their inter-loop control structures.

Suggested Citation

  • Zhang, Zheng & Yang, Guang-Hong, 2026. "Collision-free predefined-time formation control for nonholonomic mobile robots along parametric curves," Applied Mathematics and Computation, Elsevier, vol. 531(C).
  • Handle: RePEc:eee:apmaco:v:531:y:2026:i:c:s0096300326002420
    DOI: 10.1016/j.amc.2026.130190
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300326002420
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2026.130190?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:eee:apmaco:v:531:y:2026:i:c:s0096300326002420. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    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.