• DocumentCode
    2633685
  • Title

    Base position detection of grape stem considering its displacement for weeding robot in vineyards

  • Author

    Igawa, Hisashi ; Tanaka, Takayuki ; Kaneko, Shun´ichi ; Tada, Tatsumi ; Suzuki, Shin´ichi ; Ohmura, Lsao

  • Author_Institution
    Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan
  • fYear
    2012
  • fDate
    25-28 Oct. 2012
  • Firstpage
    2567
  • Lastpage
    2572
  • Abstract
    The vastness of vineyards in Hokkaido makes it hard for workers to eradicate weeds. To solve this problem, the aim of the current research has been to develop a weeding robot with a multi-link manipulator that uses a stereo camera system as a visual sensing tool for recognizing grape stems. However, the accuracy of this technique is lacking due to unavoidable measurement errors from the stereo camera system. In consideration of this problem, a method that defines the grape stem area has been devised. Additionally, to compensate for errors in the visual sensing technique, a tactile sensing technique has been employed that can haptically recognize a grape stem by means of a multi-link manipulator. In this paper, a robust sensing system is reported that analyzes the displacement of a grape stem to detect it base position such that weeding can be performed.
  • Keywords
    agricultural machinery; manipulators; object detection; robot vision; stereo image processing; tactile sensors; Hokkaido; base position detection; grape stem; measurement error; multilink manipulator; robust sensing system; stereo camera system; tactile sensing technique; vineyards; visual sensing tool; weeding robot; Force; Manipulators; Pipelines; Robot sensing systems; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Montreal, QC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4673-2419-9
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2012.6388846
  • Filename
    6388846