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An Industrial Solution to Automated Item Picking

  • Toine Ketelaars
  • Evert van de Plassche
Chapter

Abstract

Item picking is one of the most challenging functions in warehousing when it comes to automation. This chapter describes a solution for this challenge that serves as a benchmark for further research in enabling technologies. It appears that with the off-the-shelf technologies, SIFT-based item recognition, suction gripping, gantry robots, and service-based process control, a workstation can be constructed that covers almost two thirds of the required pick actions. The main class of items that cannot be picked consists of items without a flat surface or without sufficient visual features. These omissions are the starting points for alternative solutions researched in Chaps.  9 12.

Keywords

Landing Zone Order Picking Order Line Product Container Gantry Robot 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Festo (2011) Vacuum suction grippers and suction cups. http://www.festo.com, Viewed April 2011
  2. 2.
    Lowe DG (2004) Distinctive image features from scale-invariant keypoints. Int J Comp Vis 60:91–110CrossRefGoogle Scholar
  3. 3.
    Vanderlande Industries (2009) Inrichting voor het grijpen van objecten. Patent application NL1037512Google Scholar
  4. 4.
    Vanderlande Industries (2010) Automated item picking. http://www.youtube.com/watch?v=4hjmLYvy5DI, Viewed April 2011

Copyright information

© Springer-Verlag London Limited  2012

Authors and Affiliations

  1. 1.Vanderlande Industries B.VVeghelThe Netherlands

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