IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v208y2026ip3s096007792600398x.html

Collective behaviors of self-propelled particles with looming-receding induced non-reciprocal interactions

Author

Listed:
  • Zhang, Zhao
  • Wang, Tao
  • Zhou, Yongjian
  • Peng, Xingguang

Abstract

Classical models of collective motion typically rely on metric-based, reciprocal interactions and often neglect the sensory constraints inherent in biological and robotic systems. In this work, we investigate the collective dynamics of self-propelled agents driven by non-reciprocal responses to optical flow cues, specifically the visual looming and receding of neighbors. By establishing a global power-balance framework, we demonstrate that the interplay between active energy injection and vision-induced dissipation governs the emergence of macroscopic order. Our analysis provides theoretical evidence for the existence of a bounded attracting region in phase space that ensures the ultimate boundedness of collective dynamics. Extensive numerical simulations reveal a complex phase diagram featuring distinct flocking, rotational, and disordered behaviors. Notably, we find that increasing the visual safety radius functions as a structural switch. A larger safety threshold suppresses high-density rotational modes by enlarging the effective exclusion zone, thereby forcing the system into a translational flocking state. These results highlight how anisotropic, non-reciprocal visual perception fundamentally reshapes the attractor landscape of active matter and offer new theoretical insights for designing autonomous swarms with minimal sensing capabilities.

Suggested Citation

  • Zhang, Zhao & Wang, Tao & Zhou, Yongjian & Peng, Xingguang, 2026. "Collective behaviors of self-propelled particles with looming-receding induced non-reciprocal interactions," Chaos, Solitons & Fractals, Elsevier, vol. 208(P3).
  • Handle: RePEc:eee:chsofr:v:208:y:2026:i:p3:s096007792600398x
    DOI: 10.1016/j.chaos.2026.118257
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096007792600398X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chaos.2026.118257?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:chsofr:v:208:y:2026:i:p3:s096007792600398x. 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: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    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.