Name
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/IROS.2018.8593961 | 2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) |
Keywords | Field | DocType |
Swarm Robotics, Aggregation, Pheromone, Bio-inspired | Computer vision,Swarm behaviour,Computer science,Pheromone,Artificial intelligence,Swarm robotics | Conference |
ISSN | Citations | PageRank |
2153-0858 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Farshad Arvin | 1 | 10 | 2.57 |
| Ali Emre Turgut | 2 | 202 | 13.85 |
| Tomás Krajník | 3 | 422 | 37.83 |
| Salar Rahimi | 4 | 0 | 0.34 |
| Ilkin Ege Okay | 5 | 0 | 0.34 |
| Shigang Yue | 6 | 402 | 56.70 |
| Simon Watson | 7 | 0 | 3.04 |
| Barry Lennox | 8 | 5 | 4.49 |