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Towards Automated Order Picking Robots for Warehouses and Retail

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

Postprint urn:nbn:de:0011-n-5779833 (2.9 MByte PDF)
MD5 Fingerprint: 69359e63d6f2e5d644d9a1eca8c56e46
Created on: 20.2.2020

Tzovaras, Dimitrios:
Computer vision systems. 12th International Conference, ICVS 2019. Proceedings : Thessaloniki, Greece, September 23-25, 2019
Cham: Springer Nature, 2019 (Lecture Notes in Computer Science 11754)
ISBN: 978-3-030-34994-3 (Print)
ISBN: 978-3-030-34995-0 (Online)
International Conference on Computer Vision Systems (ICVS) <12, 2019, Thessaloniki>
Conference Paper, Electronic Publication
Fraunhofer IPA ()
maschinelles Sehen; Objekterkennung; order picking; robot vision; object localisation

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.