Accessible Hardware Implementation for Multi-Agent Collective Construction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F25%3A00383366" target="_blank" >RIV/68407700:21240/25:00383366 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1609/aaai.v39i28.35368" target="_blank" >https://doi.org/10.1609/aaai.v39i28.35368</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1609/aaai.v39i28.35368" target="_blank" >10.1609/aaai.v39i28.35368</a>
Alternative languages
Result language
angličtina
Original language name
Accessible Hardware Implementation for Multi-Agent Collective Construction
Original language description
We propose a 2D simulation system for multi-agent collective construction (MACC) based on simple line-following intelligent machines (SLIM) - small differential drive mobile robots. Our MACC-SLIM system alleviates the high upfront cost of implementing MACC on real hardware. Our system builds upon widely available resources, namely a standard LCD screen and commodity mobile robots, allowing researchers and schools easier access to MACC hardware implementation. We test the system on plans generated by an optimal state-of-the-art MACC algorithm, demonstrating there are still non-insignificant synchronization delays. The MACC-SLIM system allows us to observe bottlenecks, parallelism, and possible execution failures of plans generated by the MACC algorithms.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
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
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 39th AAAI Conference on Artificial Intelligence
ISBN
978-1-57735-897-8
ISSN
2159-5399
e-ISSN
2374-3468
Number of pages
3
Pages from-to
29688-29690
Publisher name
AAAI Press
Place of publication
Menlo Park
Event location
Philadelphia
Event date
Feb 27, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001477477000231