Towards Holistic Approach to Robust Execution of MAPF plans
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10507207" target="_blank" >RIV/00216208:11320/25:10507207 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/25:00381772 RIV/68407700:21730/25:00381772
Result on the web
<a href="https://doi.org/10.5220/0013319700003890" target="_blank" >https://doi.org/10.5220/0013319700003890</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0013319700003890" target="_blank" >10.5220/0013319700003890</a>
Alternative languages
Result language
angličtina
Original language name
Towards Holistic Approach to Robust Execution of MAPF plans
Original language description
Multi-agent path finding (MAPF) deals with the problem of navigating a set of agents in a shared environ ment to reach their destinations without collisions. Even if the plan is collision-free, some delay during plan execution may lead to collision of agents if they execute the plans blindly. In this position paper, we discuss the concept of robust execution of MAPF plans by exploiting an action dependency graph. We suggest how to evaluate the effect of delay by computing a slack-like value for not yet visited locations, and we propose a three-layer architecture- retiming, rescheduling, and replanning to handle delays effectively.
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/GA23-05104S" target="_blank" >GA23-05104S: Multi-Robotic Path Planning and Execution</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
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 17th International Conference on Agents and Artificial Intelligence, ICAART 2025 - Volume 1
ISBN
978-989-758-737-5
ISSN
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e-ISSN
2184-433X
Number of pages
8
Pages from-to
624-631
Publisher name
SCITEPRESS
Place of publication
Neuveden
Event location
Porto, Portugal
Event date
Feb 23, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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