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.
R. Grandi, R. Falconi, C. Melchiorri (2012). A Navigation Strategy for Multi-Robot Systems Based on Particle Swarm Optimization Techniques. s.l : IFAC [10.3182/20120905-3-HR-2030.00060].
A Navigation Strategy for Multi-Robot Systems Based on Particle Swarm Optimization Techniques
GRANDI, RAFFAELE;FALCONI, RICCARDO;MELCHIORRI, CLAUDIO
2012
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.File in questo prodotto:
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