Towards automated order picking robots for warehouses and retail

Richard Bormann*, Bruno Ferreira de Brito, Jochen Lindermayr, Marco Omainska, Mayank Patel

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

18 Citations (Scopus)

Abstract

Order picking is one of the most expensive tasks in warehouses nowadays and at the same time one of the hardest to automate. Technical progress in automation technologies however allowed for first robotic products on fully automated picking in certain applications. This paper presents a mobile order picking robot for retail store or warehouse order fulfillment on typical packaged retail store items. This task is especially challenging due to the variety of items which need to be recognized and manipulated by the robot. Besides providing a comprehensive system overview the paper discusses the chosen techniques for textured object detection and manipulation in greater detail. The paper concludes with a general evaluation of the complete system and elaborates various potential avenues of further improvement.

Original languageEnglish
Title of host publicationComputer Vision Systems - 12th International Conference, ICVS 2019, Proceedings
EditorsDimitrios Tzovaras, Dimitrios Giakoumis, Markus Vincze, Antonis Argyros
PublisherSpringer
Pages185-198
ISBN (Print)9783030349943
DOIs
Publication statusPublished - 2019
Event12th International Conference on Computer Vision Systems, ICVS 2019 - Thessaloniki, Greece
Duration: 23 Sept 201925 Sept 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11754 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Computer Vision Systems, ICVS 2019
Country/TerritoryGreece
CityThessaloniki
Period23/09/1925/09/19

Keywords

  • Object localization
  • Order picking
  • Robot vision

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