In this research we will consider the case in which industrial robotic manipulators execute pick and place operations with dynamically moving objects. Objects are considered to move on a conveyor belt of the production line without being precisely positioned on it. This research will investigate how a simple color camera can be used for recognition using computer vision methods for background subtraction. The proposed algorithm detects objects located on the conveyor belt of a production line and plans the grasping process for the multiple manipulating robots. It uses methods such as Mixture of Gaussians, which appear to be suitable for application in industrial environments. The algorithm was experimentally tested in a simulation environment. This leads to a universal approach, which does not require usage of special tools and sensors for the production line. The approach could be applied for each conveyor belt of any industrial production line. The grasp planning can consider a larger number of robots and optimize the sequence of their movements.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Computer Vision Based Object Tracking for Multiple Robot Collaboration


    Weitere Titelangaben:

    Mechan. Machine Science


    Beteiligte:
    Müller, Andreas (Herausgeber:in) / Brandstötter, Mathias (Herausgeber:in) / Chikurtev, Denis (Autor:in) / Yovchev, Kaloyan (Autor:in)

    Kongress:

    International Conference on Robotics in Alpe-Adria Danube Region ; 2022 ; Klagenfurt, Austria June 08, 2022 - June 10, 2022



    Erscheinungsdatum :

    2022-04-23


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Computer Vision Based Object Tracking for Multiple Robot Collaboration

    Chikurtev, Denis / Yovchev, Kaloyan | TIBKAT | 2022


    Monocular Vision Based Object Recognition and Tracking for Intelligent Robot

    Gao, Qian / Zhang, Lilian / Hu, Xiaoping et al. | British Library Conference Proceedings | 2017


    Vision-guided multiple planar object recognition and tracking.

    Shahir, Shahed. | BASE | 2003

    Freier Zugriff

    Vision-Based Autonomous Human Tracking Mobile Robot

    Htwe, Theint Theint / Win, Wut Yi / Shwe, Lei Lei Tun | BASE | 2017

    Freier Zugriff

    Computer vision system for object tracking and time-to-collision

    ZINK EDMUND DAWES / LIU QIANG / LANGENBERG JENS | Europäisches Patentamt | 2024

    Freier Zugriff