• DocumentCode
    2677261
  • Title

    Safe obstacle avoidance for industrial robot working without fences

  • Author

    Pedrocchi, N. ; Malosio, M. ; Tosatti, L. Molinari

  • Author_Institution
    ITIA-CNR, Milan, Italy
  • fYear
    2009
  • fDate
    10-15 Oct. 2009
  • Firstpage
    3435
  • Lastpage
    3440
  • Abstract
    Until now, the presence of fences is a technological barrier for the adoption of robots in small medium enterprises (SME). The work deals with the definition of an intrinsically safe algorithm to avoid collisions between an industrial manipulator and obstacles in its workspace (Standard ISO 10218-1). The suggested strategy aims to offer an industrial solution to the problem: an off-line analysis of the workspace is performed to have an exhaustive and intrinsically description of the static obstacles and a safe spatial grid of ¿pass-through points¿ is calculated; an on-line algorithm, based on an enhanced artificial potential field evaluates the most suitable points to avoid collisions against obstacles and perform a realtime replanning the path of the robot. A Matlab toolbox that elaborates STL CAD files has been developed to obtain a full description of the workcell, and the avoidance algorithm has been designed and implemented in a standard industrial controller. Various experimental results are reported by using a COMAU NS16 arm manipulator.
  • Keywords
    CAD; collision avoidance; industrial manipulators; small-to-medium enterprises; COMAU NS16 arm manipulator; artificial potential field; industrial controller; industrial manipulator; obstacle avoidance; small medium enterprises; Algorithm design and analysis; Collision avoidance; ISO standards; Industrial control; Intelligent robots; Manipulators; Mobile robots; Motion control; Performance evaluation; Service robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    978-1-4244-3803-7
  • Electronic_ISBN
    978-1-4244-3804-4
  • Type

    conf

  • DOI
    10.1109/IROS.2009.5353980
  • Filename
    5353980