Distributed solutions enable robots to work together in teams in increasingly complex contexts. With this work, we propose a proof-of-concept implementation of a multi-robot system that is used to track multiple human targets in real time. We consider a dynamic distributive assignment algorithm to enable the team to reach a consensus and assign each member a target to observe. Furthermore, we test several communication policies between the team members to find the best options. We also contribute a lightweight software pipeline to enable the robots to continuously re-identify their targets using a live video feed.


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    Title :

    Distributed Dynamic Assignment of Multiple Mobile Targets Based on Person Re-Identification


    Additional title:

    Lect. Notes in Networks, Syst.



    Conference:

    Iberian Robotics conference ; 2022 ; Zaragoza, Spain November 23, 2022 - November 25, 2022



    Publication date :

    2022-11-19


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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