@inproceedings{4774e4c94f4d47e59daf9f63662f174d,
title = "Phi Clust: Pheromone-Based Aggregation for Robotic Swarms",
abstract = "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.",
keywords = "Aggregation, Bio-inspired, Pheromone, Swarm Robotics",
author = "Farshad Arvin and Turgut, {Ali Emre} and Tomas Krajnik and Salar Rahimi and Okay, {Ilkin Ege} and Shigang Yue and Simon Watson and Barry Lennox",
year = "2018",
month = dec,
day = "27",
doi = "10.1109/IROS.2018.8593961",
language = "English",
series = "IEEE International Conference on Intelligent Robots and Systems",
publisher = "IEEE",
pages = "4288--4294",
booktitle = "2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018",
address = "United States",
note = "2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018 ; Conference date: 01-10-2018 Through 05-10-2018",
}