• DocumentCode
    1663103
  • Title

    A depth sensor to control pick-and-place robots for fruit packaging

  • Author

    Dzitac, Pavel ; Mazid, Abdul Md

  • Author_Institution
    Sch. of Eng. & Built Environ., Central Queensland Univ., Rockhampton, QLD, Australia
  • fYear
    2012
  • Firstpage
    949
  • Lastpage
    954
  • Abstract
    This paper presents a powerful and inexpensive method for object detection and location using a low cost, commercial 3D depth sensor. This method can be used as an affordable alternative to the more expensive commercial object detection and location systems, particularly where a depth inaccuracy of a few millimeters can be tolerated. The prototype control application extracts relevant information such as the XYZ co-ordinates of an object´s location from a 3D depth map, generated by the depth sensor interface software. This information is then used by the robot control application to control the end effector of a pick-and-place robot for handling objects or fruit. Experiments have proven that the projected area of an object and its location can be successfully extracted from the depth map provided by the 3D depth sensor. This type of depth sensor can be used in robotics research projects for short range environment mapping and navigation, and for detecting and locating objects.
  • Keywords
    feature extraction; food processing industry; food products; industrial robots; materials handling; object detection; packaging; path planning; robot vision; sensors; 3D depth map; 3D depth sensor; XYZ coordinates; control application; depth map extraction; fruit packaging; object detection; object location; pick-and-place robot control; short range environment mapping; short range navigation; Libraries; Packaging; Robot control; Robot sensing systems; Search problems; Software; depth map; depth sensor; fruit packaging; pick-and-place robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4673-1871-6
  • Electronic_ISBN
    978-1-4673-1870-9
  • Type

    conf

  • DOI
    10.1109/ICARCV.2012.6485285
  • Filename
    6485285