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Concept of cellular transport systems in facility logistics

 
: Kamagaew, A.; Stenzel, J.; Nettsträter, A.; Ten Hompel, M.

:
Postprint urn:nbn:de:0011-n-1924402 (787 KByte PDF)
MD5 Fingerprint: 9fa02bef6805d28b4f4bceaf557d5e04
© 2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Created on: 17.1.2012


Institute of Electrical and Electronics Engineers -IEEE-:
ICARA 2011, 5th IEEE International Conference on Automation, Robotics and Applications : James Cook Hotel Grand Chancellor, 6 - 8 December 2011, Wellington, New Zealand
New York, NY: IEEE, 2011
ISBN: 978-1-4577-0328-7
ISBN: 978-1-4577-0329-4
ISBN: 1-4577-0329-7
pp.40-45
International Conference on Automation, Robotics and Applications (ICARA) <5, 2011, Wellington>
English
Conference Paper, Electronic Publication
Fraunhofer IML ()
cellular transport system; zellulares Transportsystem; automated guided vehicle; Internet der Dinge; Internet of Things; swarm intelligence; FTF Schwarm; Schwarmintelligenz; multi-agent system; facility logistic

Abstract
The proposed concept of a Cellular Transport System shows the possibilities to increase the flexibility and changeability of facility logistics systems and enhances the ease of use of complex decentralized control systems. This contribution shows how to enhance these issues compared to conventional facility logistics systems, e.g. static conveyors, by using an autonomous vehicle swarm. Cellular Transport Systems are based on dedicated (cellular) material handling entities. Generally, these cells consist of autonomous transport vehicles (ATVs) or autonomous conveying modules. Various functions such as advanced sensor/actuator interoperation, highly reliable communication, localization and energy management are implemented in each of this cells, facilitating different forms of adaptive, anticipatory and collective behavior. Furthermore, Swarm Intelligence enables the creation of a collective that interacts and cooperates amongst each other in order to solve complex tasks.

: http://publica.fraunhofer.de/documents/N-192440.html