Towards automated order picking robots for warehouses and retail

Conference paper (2019)

Authors

Richard Bormann Fraunhofer Institute for Manufacturing Engineering and Automation
B.F. Ferreira de Brito Learning & Autonomous Control - Mechanical, Maritime and Materials Engineering
Jochen Lindermayr Fraunhofer Institute for Manufacturing Engineering and Automation
Marco Omainska Fraunhofer Institute for Manufacturing Engineering and Automation
Mayank Patel Fraunhofer Institute for Manufacturing Engineering and Automation
Research Group
Learning & Autonomous Control (Mechanical, Maritime and Materials Engineering) (TU Delft)
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Published Date

2019

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Cognitive Robotics

Research Group

Learning & Autonomous Control

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.

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