Mobile Picking Robots: A First Study of the Effects of Human-Robot Interactions in Conventional Order Picking Systems

Dirk Kauke, Florian Sailer, Johannes Fottner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Warehouses are increasingly experiencing a shortage of human resources. The first approaches to counteract this are flexible robot systems that are designed to support human workers. Mobile picking robots, i.e., robots that can pick independently in an order picking system, are increasingly used. At the moment, however, there is no suitable planning tool that sufficiently takes into account the system behavior of such hybrid picking systems. This paper investigates the influence of human-robot interaction on different aisle widths and layout variants. In addition, zoning is examined as a strategy and compared with the initial system. The paper finally shows that the need for coordinated processes and strategies in hybrid systems is even higher than it already is in conventional order picking systems.

Original languageEnglish
Title of host publication5th EAI International Conference on Management of Manufacturing Systems
EditorsLucia Knapčíková, Dragan Peraković, Annamária Behúnová, Marko Periša
PublisherSpringer Science and Business Media Deutschland GmbH
Pages319-332
Number of pages14
ISBN (Print)9783030672409
DOIs
StatePublished - 2022
Event5th EAI International Conference on Management of Manufacturing Systems, MMS 2020 - Virtual, Online
Duration: 27 Oct 202029 Oct 2020

Publication series

NameEAI/Springer Innovations in Communication and Computing
ISSN (Print)2522-8595
ISSN (Electronic)2522-8609

Conference

Conference5th EAI International Conference on Management of Manufacturing Systems, MMS 2020
CityVirtual, Online
Period27/10/2029/10/20

Keywords

  • Human-robot interaction
  • Mobile picking robots
  • Order picking system
  • Simulation
  • Warehouse

Fingerprint

Dive into the research topics of 'Mobile Picking Robots: A First Study of the Effects of Human-Robot Interactions in Conventional Order Picking Systems'. Together they form a unique fingerprint.

Cite this