Name
Title | ||
|---|---|---|
A Navigation Strategy for Multi-Robot Systems Based on Particle Swarm Optimization Techniques. |
Abstract | ||
|---|---|---|
In this paper, a novel strategy is presented aiming at controlling a group of mobile robots flocking through an unknown environment. The proposed control strategy is based on a modified version of the Particle Swarm Optimization (PSO) algorithm, and has been extensively validated by means of numerical simulations considering complex maze–like environments and groups of robots with different numbers of units. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.3182/20120905-3-HR-2030.00060 | IFAC Proceedings Volumes |
Keywords | Field | DocType |
Particle Swarm Optimization,Multi–Robot System,Obstacle Avoidance | Obstacle avoidance,Particle swarm optimization,Flocking (texture),Multi-swarm optimization,Control engineering,Artificial intelligence,Robot,Geography,Mobile robot,Swarm robotics,Metaheuristic | Conference |
Volume | Issue | ISSN |
45 | 22 | 1474-6670 |
Citations | PageRank | References |
4 | 0.47 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raffaele Grandi | 1 | 8 | 1.28 |
| Riccardo Falconi | 2 | 22 | 4.29 |
| Claudio Melchiorri | 3 | 779 | 88.97 |