Robots are an increasing force in the daily lives of most people in the world, able to be used for the most different kind of purposes. In this project, the authors propose a medical robot, capable of delivering medicine to patients autonomously through an hospital, and simulate its performance through the CoppeliaSim software, by using computer vision and YOLOv8, state-of-art in object detection, to find specific landmarks through the simulated ambient. The aim of this project is for the robot to be able to navigate the hospital environment autonomously, identifying points of interest and interacting with them. For this, it is first necessary to identify these objectives and the robot’s distance. This work focuses on identifying hospital objects and capturing the distance between objects and the robot.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Autonomous Mobile Pharmacy (AMPharmy): Identification of hospital objects and their respective positions




    Erscheinungsdatum :

    2023-10-09


    Format / Umfang :

    8581240 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Automated Mobile Pharmacy

    FOLSE KYLER B | Europäisches Patentamt | 2022

    Freier Zugriff


    D.O.T. PAQUITOP, an Autonomous Mobile Manipulator for Hospital Assistance

    Luigi Tagliavini / Lorenzo Baglieri / Giovanni Colucci et al. | BASE | 2023

    Freier Zugriff

    INSTRUCTING AUTONOMOUS OBJECTS

    NASEER BUTT AISHA / CHATON THOMAS / JABER MONA | Europäisches Patentamt | 2021

    Freier Zugriff