phi Clust: Pheromone-based Aggregation for Robotic Swarms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00328599" target="_blank" >RIV/68407700:21230/18:00328599 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8593961" target="_blank" >https://ieeexplore.ieee.org/document/8593961</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IROS.2018.8593961" target="_blank" >10.1109/IROS.2018.8593961</a>
Alternative languages
Result language
angličtina
Original language name
phi Clust: Pheromone-based Aggregation for Robotic Swarms
Original language description
In this paper, we proposed a pheromone-based aggregation method based on the state-of-the-art BEECLUST algorithm. We investigated the impact of pheromone-based communication on the efficiency of robotic swarms to locate and aggregate at areas with a given cue. In particular, we evaluated the impact of the pheromone evaporation and diffusion on the time required for the swarm to aggregate. In a series of simulated and real-world evaluation trials, we demonstrated that augmenting the BEECLUST method with artificial pheromone resulted in faster aggregation times.
Czech name
—
Czech description
—
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/GJ17-27006Y" target="_blank" >GJ17-27006Y: Spatio-temporal representations for life-long mobile robot navigation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
ISBN
978-1-5386-8094-0
ISSN
2153-0858
e-ISSN
2153-0866
Number of pages
7
Pages from-to
4288-4294
Publisher name
IEEE Press
Place of publication
New York
Event location
Madrid
Event date
Oct 1, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000458872703137