Please use this identifier to cite or link to this item:
Publisher URL:
Title: Realization and validation of a collaborative automated picking system
Language: English
Authors: Rieder, Mathias 
Verbeet, Richard 
Editor: Kersten, Wolfgang 
Blecker, Thorsten 
Ringle, Christian M.  
Keywords: Logistics;Industry 4.0;Digitalization;Innovation;Supply Chain Management;Artificial Intelligence;Data Science
Issue Date: 23-Sep-2020
Publisher: epubli
Source: Hamburg International Conference of Logistics (HICL) 29: 521-558 (2020)
Part of Series: Proceedings of the Hamburg International Conference of Logistics (HICL) 
Volume number: 29
Abstract (english): 
Purpose: A picking system is presented ensuring order fulfilment and enabling trans-formation from manual to automated picking using a continuous learning process. It is based on Machine Learning for object detection and realized by a human-robot collaboration to meet requirements for flexibility and adaptability. A demonstrator is implemented to show cooperation and to evaluate the learning process. Methodology: The collaborative process, system architecture, and an approach for evaluation and workload balancing for order fulfilment and learning of robots during picking have already been introduced. However, a practical application is still miss-ing. A demonstrator is implemented using an agent-based architecture (JADEX) and a physical robot (UR5e) with a camera for object detection and first empirical data are evaluated. Findings: Single components of the demonstrator are already developed, but a pending task is to implement their interaction to analyze overall system perfor-mance. This work focuses on human-robot-interaction (Emergency Call), automated generation of images extended by feedback information, and training of algorithms for object detection. Requirements of human-machine interface, technical evalua-tion of image recording, and effort of algorithm training are discussed. Originality: Many approaches for automated picking assume a static range of ob-jects. However, this approach considers a changing range as well as a concept for transformation of manual to automated picking enabled by human-robot coopera-tion and automated image recording while enabling reliable order fulfilment.
Conference: Hamburg International Conference of Logistics (HICL) 2020 
DOI: 10.15480/882.3131
ISBN: 978-3-753123-46-2
ISSN: 2365-5070
Document Type: Chapter/Article (Proceedings)
License: CC BY-SA 4.0 (Attribution-ShareAlike 4.0) CC BY-SA 4.0 (Attribution-ShareAlike 4.0)
Appears in Collections:Publications with fulltext

Show full item record

Page view(s)

Last Week
Last month
checked on Apr 21, 2021


checked on Apr 21, 2021

Google ScholarTM


Note about this record

Cite this record


This item is licensed under a Creative Commons License Creative Commons