Multi-Agent Path Finding on Real Robots
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10408103" target="_blank" >RIV/00216208:11320/19:10408103 - 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 Real Robots
Original language description
Multi-agent path finding (MAPF) deals with the problem of finding a collision-free path for a set of agents in a graph. It is an abstract version of the problem to coordinate movement for a set of mobile robots. This demo presents software guiding through the MAPF task, starting from the problem formulation and finishing with execution of plans on real robots. Users can design grid-like maps, specify initial and goal locations of robots, generate plans using various abstract models implemented in the Picat programming language, simulate and visualize execution of these plans, and translate the plans to command sequences for Ozobots, small robots developed for teaching programming.
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
AAMAS '19: PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS
ISBN
978-1-4503-6309-9
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
2333-2335
Publisher name
ASSOC COMPUTING MACHINERY
Place of publication
NEW YORK
Event location
Montreal
Event date
May 13, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000474345000397