Multi-Agent Path Finding with Continuous Time and Geometric Agents Viewed through Satisfiability Modulo Theories (SMT)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F19%3A00333582" target="_blank" >RIV/68407700:21240/19:00333582 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Multi-Agent Path Finding with Continuous Time and Geometric Agents Viewed through Satisfiability Modulo Theories (SMT)
Original language description
We address a variant of multi-agent path finding(MAPF) with continuous time and geometric agents. The standard MAPF is a task of navigating agents in an undirected graph from given starting vertices to given goals so that agents do not collide. In the continuous version (MAPFR), agents move in then-dimensional Euclidean space along straight lines that inter-connect predefined positions. We present a new solving ap-proach based on satisfiability modulo theories(SMT) to obtain makespan optimal solutions. Our SMT-based approach for MAPFR called SMT-CBSR reformulates the Conflict-based Search (CBS) algorithm in terms of SMT concepts.
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 Twelfth International Symposium on Combinatorial Search
ISBN
978-1-57735-808-4
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
200-201
Publisher name
Association for the Advancement of Artificial Intelligence (AAAI)
Place of publication
Palo Alto, California
Event location
Napa, California
Event date
Jul 16, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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