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Various Approaches to the Application of Answer Set Programming in Order-picking Systems with Intelligent Vehicles

Topics: Applications: Image and Signal Processing, Pattern Recognition, Decision Making, Human-Robot Interaction, Human Computer Interaction, Cognitive Robotics and Developmental Robotic, Sensor Mesh, Intelligent Networks, Internet Modeling, Multi-sensor Data Fusion using Computational Intelligence, Perceptual and Motor Functions (Visual, Auditory, Tactile, Virtual Reality, etc.), Intelligent Systems in Education; Collective and Distributed Intelligence; Multi-agent Intelligent Systems and Applications

Authors: Steffen Schieweck ; Gabriele Kern-Isberner and Michael ten Hompel

Affiliation: TU Dortmund, Germany

Keyword(s): Answer Set Programming, Multi-agent Systems, Application, Hybrid Systems.

Abstract: Intelligent, self-driving vehicles on public roads are widely noted in the media nowadays. In warehouse and production systems, such vehicles have been common for a number of years, even though their intelligence has only come to awareness in the recent years. Those systems are especially tailored to work in volatile environments which change (to some degree) every few weeks or months. Thus, programming is required to be as flexible as possible while still providing high efficiency. Answer set programming is a well known paradigm which has received remarkable attention in the recent years. In this paper several approaches are presented and evaluated to apply answer set programming to an order-picking system with intelligent vehicles. The interconnected planning tasks are the dispatching of vehicles to driving jobs and the assignment of customer orders to picking stations.

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Paper citation in several formats:
Schieweck, S.; Kern-Isberner, G. and ten Hompel, M. (2017). Various Approaches to the Application of Answer Set Programming in Order-picking Systems with Intelligent Vehicles. In Proceedings of the 9th International Joint Conference on Computational Intelligence (IJCCI 2017) - IJCCI; ISBN 978-989-758-274-5; ISSN 2184-3236, SciTePress, pages 25-34. DOI: 10.5220/0006489300250034

@conference{ijcci17,
author={Steffen Schieweck. and Gabriele Kern{-}Isberner. and Michael {ten Hompel}.},
title={Various Approaches to the Application of Answer Set Programming in Order-picking Systems with Intelligent Vehicles},
booktitle={Proceedings of the 9th International Joint Conference on Computational Intelligence (IJCCI 2017) - IJCCI},
year={2017},
pages={25-34},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006489300250034},
isbn={978-989-758-274-5},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Computational Intelligence (IJCCI 2017) - IJCCI
TI - Various Approaches to the Application of Answer Set Programming in Order-picking Systems with Intelligent Vehicles
SN - 978-989-758-274-5
IS - 2184-3236
AU - Schieweck, S.
AU - Kern-Isberner, G.
AU - ten Hompel, M.
PY - 2017
SP - 25
EP - 34
DO - 10.5220/0006489300250034
PB - SciTePress

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