Multi-Agent Path Finding for Large Agents
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F19%3A00329557" target="_blank" >RIV/68407700:21240/19:00329557 - isvavai.cz</a>
Result on the web
<a href="https://aaai.org/Conferences/AAAI-19/" target="_blank" >https://aaai.org/Conferences/AAAI-19/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Multi-Agent Path Finding for Large Agents
Original language description
Multi-Agent Path Finding (MAPF) has been widely studiedin the AI community. For example, Conflict-Based Search(CBS) is a state-of-the-art MAPF algorithm based on a two-level tree-search. However, previous MAPF algorithms as-sume that an agent occupies only a single location at anygiven time, e.g., a single cell in a grid. This limits their ap-plicability in many real-world domains that have geometricagents in lieu of point agents. Geometric agents are referredto as “large” agents because they can occupy multiple pointsat the same time. In this paper, we formalize and study LA-MAPF, i.e., MAPF for large agents.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA19-17966S" target="_blank" >GA19-17966S: intALG-MAPFg: Intelligent Algorithms for Generalized Variants of Multi-Agent Path Finding</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19)
ISBN
978-1-57735-809-1
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
7627-7634
Publisher name
Association for the Advancement of Artificial Intelligence (AAAI)
Place of publication
Palo Alto, California
Event location
Honolulu, Hawaii
Event date
Jan 27, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000486572502020