MAPF Scenario: Software for Evaluating MAPF Plans 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%2F20%3A10424629" target="_blank" >RIV/00216208:11320/20:10424629 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1609/aaai.v34i09.7088" target="_blank" >https://doi.org/10.1609/aaai.v34i09.7088</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1609/aaai.v34i09.7088" target="_blank" >10.1609/aaai.v34i09.7088</a>
Alternative languages
Result language
angličtina
Original language name
MAPF Scenario: Software for Evaluating MAPF Plans on Real Robots
Original language description
Multi-Agent Path Finding (MAPF) deals with finding collision free paths for a set of agents (robots) moving on a graph. The interest in MAPF in the research community started to increase recently partly due to practical applications in areas such as warehousing and computer games. However, the academic community focuses mostly on solving the abstract version of the problem (moving of agents on the graph) with only a few results on real robots. The presented software MAPF Scenario provides a tool for specifying MAPF problems on grid maps, solving the problems using various abstractions (for example, assuming rotation actions or not), simulating execution of plans, and translating the abstract plans to control programs for small robots Ozobots. The tool is intended as a research platform for evaluating abstract MAPF plans on real robots and as an educational and demonstration tool bridging the areas of artificial intelligence and robotics.
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Conference on Artificial Intelligence
ISBN
978-1-57735-835-0
ISSN
2374-3468
e-ISSN
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Number of pages
2
Pages from-to
13602-13603
Publisher name
AAAI Press
Place of publication
Neuveden
Event location
New York, USA
Event date
Feb 7, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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