Publication: Towards ASP-based Scheduling for Indust...
Master data
Title: | Towards ASP-based Scheduling for Industrial Transport Vehicles |
Subtitle: | |
Abstract: | The increasing number of robots and autonomous vehicles involved in logistics applications leads to new challenges to face for the community of Artificial Intelligence. Web-shop giants, like Amazon or Alibaba for instance, brought this problem to a new level, with huge warehouses and a huge number of orders to deliver with strict deadlines. Coordinating and scheduling such high quantity of tasks over a fleet of autonomous robots is a really complex problem: neither simple imperative greedy algorithms, which compromises over the quality of the solution, nor precise enumeration techniques, which make compromises over the solving time, are anymore feasible to tackle such problems. In this work, we use Answer Set Programming to tackle real-world logistics problems, involving both dynamic task assignment and planning, at the BMW Group and Incubed IT. Different strategies are tried, and compared to the original imperative approach. |
Keywords: |
Publication type: | Article in Proceedings (Authorship) |
Publication date: | 23.11.2020 (Online) |
Published by: |
Proceedings of the Fourth Workshop on Trends and Applications of Answer Set Programming (TAASP 2020)
Proceedings of the Fourth Workshop on Trends and Applications of Answer Set Programming (TAASP 2020)
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to publication |
Title of the series: | - |
Volume number: | - |
First publication: | No |
Edition: | - |
Version: | - |
Page: | - |
Versionen
Keine Version vorhanden |
Publication date: | 23.11.2020 |
ISBN (e-book): | - |
eISSN: | - |
DOI: | - |
Homepage: | http://www.kr.tuwien.ac.at/events/taasp20/papers/TAASP_2020_paper_2.pdf |
Open access |
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Authors
Martin Gebser (internal) |
Felicitas Fabricius (external) |
Marco De Bortoli (external) |
Gerald Steinbauer (external) |
Maximilian Selmair (external) |
Michael Reip (external) |
Assignment
Organisation | Address | ||||
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Fakultät für Technische Wissenschaften
Institut für Artificial Intelligence und Cybersecurity
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AT - A-9020 Klagenfurt |
Categorisation
Subject areas | |
Research Cluster | No research Research Cluster selected |
Peer reviewed |
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Publication focus |
Classification raster of the assigned organisational units:
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working groups |
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Cooperations
Organisation | Address | ||
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Technische Universität Graz
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AT - 8010 Graz |
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Incubed IT
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AT
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BMW Group
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DE
München |
Research activities
Projects: | No related projects |
Publications: | No related publications |
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Lectures: | No related lectures |