Professor Farshad Arvin farshad.arvin@durham.ac.uk
Associate Professor
Professor Farshad Arvin farshad.arvin@durham.ac.uk
Associate Professor
Ali Emre Turgut
Tomas Krajnik
Salar Rahimi
Ilkin Ege Okay
Shigang Yue
Simon Watson
Barry Lennox
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.
Arvin, F., Turgut, A. E., Krajnik, T., Rahimi, S., Okay, I. E., Yue, S., …Lennox, B. (2018). Φ Clust: Pheromone-Based Aggregation for Robotic Swarms. . https://doi.org/10.1109/iros.2018.8593961
Conference Name | 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) |
---|---|
Conference Location | Madrid, Spain |
Start Date | Oct 1, 2018 |
End Date | Oct 5, 2018 |
Online Publication Date | Jan 6, 2019 |
Publication Date | 2018 |
Deposit Date | May 27, 2022 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 4288-4294 |
Series ISSN | 2153-0866 |
ISBN | 978-1-5386-8095-7 |
DOI | https://doi.org/10.1109/iros.2018.8593961 |
Public URL | https://durham-repository.worktribe.com/output/1136886 |
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