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.

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.
Proc. 10th IFAC Symposium on Robot Control
331
336
R. Grandi; R. Falconi; C. Melchiorri
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/127778
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