Multi-agent Path Finding for Indoor Quadcopters
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F23%3A00371955" target="_blank" >RIV/68407700:21240/23:00371955 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-37616-0_34" target="_blank" >https://doi.org/10.1007/978-3-031-37616-0_34</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-37616-0_34" target="_blank" >10.1007/978-3-031-37616-0_34</a>
Alternative languages
Result language
angličtina
Original language name
Multi-agent Path Finding for Indoor Quadcopters
Original language description
We study the planning-acting loop for the multi-agent path finding problem (MAPF). MAPF is a problem of navigating agents from their start positions to specified individual goal positions so that agents do not collide with each other. We focus on executing MAPF plans with a group of Crazyflies, small indoor quadcopters, for which we developed a platform that integrates decision theoretic planning and plan execution modules. Our platform can be used for testing suitability of variants of MAPF for execution with real agents. We show how to modify the existing continuous-time conflict-based search algorithm (CCBS) to produce plans that are suitable for execution with the quadcopters. Our finding is that the CCBS algorithm allows for extensions that can produce safe plans for quadcopters, namely cylindrical protection zone around each quadcopter can be introduced at the planning level.
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/GA22-31346S" target="_blank" >GA22-31346S: logicMOVE: Logic Reasoning in Motion Planning for Multiple Robotic Agents</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection
ISBN
978-3-031-37615-3
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
6
Pages from-to
409-414
Publisher name
Springer-Verlag
Place of publication
Berlin
Event location
Guimaraes
Event date
Jul 12, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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