Deployment of Multi-agent Pathfinding on a Swarm of Physical Robots Centralized Control via Reflex-based Behavior
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F20%3A00345188" target="_blank" >RIV/68407700:21240/20:00345188 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.5220/0010105800280038" target="_blank" >https://doi.org/10.5220/0010105800280038</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0010105800280038" target="_blank" >10.5220/0010105800280038</a>
Alternative languages
Result language
angličtina
Original language name
Deployment of Multi-agent Pathfinding on a Swarm of Physical Robots Centralized Control via Reflex-based Behavior
Original language description
Multi-agent pathfinding is a problem of finding paths for multiple agents from their initial configuration to their goal configuration that results in a plan execution without collisions. In this paper, we deploy MAPF solutions on a swarm of small mobile robots. During the plan execution, we mitigate the problem of desynchronization that comes with the plan execution on physical hardware using the reflex-based behavior of the robots.
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 International Conference on Robotics, Computer Vision and Intelligent Systems
ISBN
978-989-758-479-4
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
28-38
Publisher name
SciTePress
Place of publication
Madeira
Event location
Virtualni (puvodne Budapest)
Event date
Nov 4, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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