• DocumentCode
    3586684
  • Title

    Reconfigurable robotic system based on mono-camera guidance

  • Author

    Popescu, Dan ; Ichim, Loretta ; Fratila, Radu ; Gornea, Diana

  • Author_Institution
    Fac. of Autom. Control & Comput., Univ. Politeh. of Bucharest, Bucharest, Romania
  • fYear
    2014
  • Firstpage
    45
  • Lastpage
    50
  • Abstract
    The paper proposes an intelligent robotic system which is able to be (re)configured, at demand, for two deployment scenarios. a) The first task is to move the platform after a trajectory determined by the direction to a fixed point and avoid any obstacles occurring in the route. a) The second task is to identify and track a spherical object. The robot is equipped with a navigation system designed to maintain direction in case of interruption of video contact with the target (landmark), meaning when an obstacle interposes. It has two main subsystems: the mobile platform, which is equipped with a video camera and sensors for path correction, and the central processing system for the analysis of received information. The task control is based on extracted features from images. The communication between them is done via a wireless protocol. Algorithms for controlling the mobile platform are implemented on the embedded microcontroller and algorithms for image processing are implemented on the central system.
  • Keywords
    feature extraction; image sensors; path planning; robot vision; video signal processing; central processing system; embedded microcontroller; feature extraction; image processing; intelligent robotic system; mobile platform; mono camera guidance; navigation system; path correction; reconfigurable robotic system; spherical object; video camera; video contact; video sensors; wireless protocol; Cameras; Image color analysis; Mobile communication; Robot vision systems; Target tracking; camera based navigation system; mobile robot; object tracking; obstacle avoidance; real time image processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Computers and Artificial Intelligence (ECAI), 2014 6th International Conference on
  • Print_ISBN
    978-1-4799-5478-0
  • Type

    conf

  • DOI
    10.1109/ECAI.2014.7090222
  • Filename
    7090222