Multi-Agent Path Finding on Ozobots
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10408117" target="_blank" >RIV/00216208:11320/19:10408117 - 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 on Ozobots
Original language description
Multi-agent path finding (MAPF) is the problem to find collision-free paths for a set of agents (mobile robots) moving on a graph. There exists several abstract models describing the problem with various types of constraints. The demo presents software to evaluate the abstract models when the plans are executed on Ozobots, small mobile robots developed for teaching programming. The software allows users to design the grid-like maps, to specify initial and goal locations of robots, to generate plans using various abstract models implemented in the Picat programming language, to simulate and to visualise execution of these plans, and to translate the plans to command sequences for Ozobots.
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/GA19-02183S" target="_blank" >GA19-02183S: Smart Swarms: From Theory to Practice</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 Twenty-Eighth International Joint Conference on Artificial Intelligence
ISBN
978-0-9992411-4-1
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
6491-6493
Publisher name
International Joint Conferences on Artificial Intelligence
Place of publication
neuveden
Event location
Macao
Event date
Aug 10, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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