research-article

Airport Management Controller: A Multi-Robot Task-Allocation Approach

Authors:

Salma El-Ansary,

Omar M. Shehata,

El-Sayed Imam MorganAuthors Info & Claims

ICCMA '16: Proceedings of the 4th International Conference on Control, Mechatronics and Automation

Pages 26 - 30

https://doi.org/10.1145/3029610.3029623

Published: 07 December 2016 Publication History

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Abstract

Multi-Robot Systems (MRS) are being widely used in different applications to harness the benefits of the collective behavior of the robots instead of single robot applications. One of the most widely addressed problems is the Multi-Robot Task Allocation (MRTA) problem. In this study, an Airport Management Controller (AMC) is proposed to control a set of heterogeneous robots to prepare airplanes for their departures. The problem is addressed as a MRTA problem. The proposed approach is simulated in order to validate it. Several parameters of the simulation are varied and their effects on the proposed performance metrics are studied. The results reflected an improvement in the Total Operation Time (TOT) of the system by 80% and 70% for fixed and randomized passengers' arrival rates respectively. The results reflect the potential of the proposed AMC to handle this problem, and open the door for further investigations along this road.

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Merdin-Uygur EOzturkcan S(2022)Consumers and Service Robots: Power Relationships amid COVID-19 PandemicJournal of Retailing and Consumer Services10.1016/j.jretconser.2022.103174(103174)Online publication date: Oct-2022
https://doi.org/10.1016/j.jretconser.2022.103174
Ivanov SGretzel UBerezina KSigala MWebster C(2019)Progress on robotics in hospitality and tourism: a review of the literatureJournal of Hospitality and Tourism Technology10.1108/JHTT-08-2018-0087Online publication date: 13-May-2019
https://doi.org/10.1108/JHTT-08-2018-0087
Lin HChi OGursoy D(2019)Antecedents of customers’ acceptance of artificially intelligent robotic device use in hospitality servicesJournal of Hospitality Marketing & Management10.1080/19368623.2020.168505329:5(530-549)Online publication date: 12-Nov-2019
https://doi.org/10.1080/19368623.2020.1685053

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ICCMA '16: Proceedings of the 4th International Conference on Control, Mechatronics and Automation

December 2016

195 pages

ISBN:9781450352130

DOI:10.1145/3029610

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

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Published: 07 December 2016

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ICCMA '16: 4th International Conference on Control, Mechatronics and Automation

December 7 - 11, 2016

Barcelona, Spain

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Merdin-Uygur EOzturkcan S(2022)Consumers and Service Robots: Power Relationships amid COVID-19 PandemicJournal of Retailing and Consumer Services10.1016/j.jretconser.2022.103174(103174)Online publication date: Oct-2022
https://doi.org/10.1016/j.jretconser.2022.103174
Ivanov SGretzel UBerezina KSigala MWebster C(2019)Progress on robotics in hospitality and tourism: a review of the literatureJournal of Hospitality and Tourism Technology10.1108/JHTT-08-2018-0087Online publication date: 13-May-2019
https://doi.org/10.1108/JHTT-08-2018-0087
Lin HChi OGursoy D(2019)Antecedents of customers’ acceptance of artificially intelligent robotic device use in hospitality servicesJournal of Hospitality Marketing & Management10.1080/19368623.2020.168505329:5(530-549)Online publication date: 12-Nov-2019
https://doi.org/10.1080/19368623.2020.1685053

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A mobile robot with autonomous climbing and descending of stairs

Auction-Based Task Allocation and Motion Planning for Multi-Robot Systems with Human Supervision

A Flexible Framework for Diverse Multi-Robot Task Allocation Scenarios Including Multi-Tasking

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