Emulating Centralized Control in Multi-Agent Pathfinding Using Decentralized Swarm of Reflex-Based Robots
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F20%3A00346379" target="_blank" >RIV/68407700:21240/20:00346379 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/SMC42975.2020.9283368" target="_blank" >https://doi.org/10.1109/SMC42975.2020.9283368</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SMC42975.2020.9283368" target="_blank" >10.1109/SMC42975.2020.9283368</a>
Alternative languages
Result language
angličtina
Original language name
Emulating Centralized Control in Multi-Agent Pathfinding Using Decentralized Swarm of Reflex-Based Robots
Original language description
Multi-agent pathfinding (MAPF) represents a core problem in robotics. In its abstract form, the task is to navigate agents in an undirected graph to individual goal vertices so that conflicts between agents do not occur. Many algorithms for finding feasible or optimal solutions have been devised. We focus on the execution of MAPF solutions with a swarm of simple physical robots. Such execution is important for understanding how abstract plans can be transferred into reality and vital for educational demonstrations. We show how to use a swarm of reflex-based Ozobot Evo robots for MAPF execution.
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
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
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics
ISBN
978-1-7281-8526-2
ISSN
2168-2216
e-ISSN
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Number of pages
8
Pages from-to
3998-4005
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos
Event location
Toronto / Virtuální
Event date
Oct 11, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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